Lecture Notes in Artificial Intelligence 2774 Edited by J. G. Carbonell and J. Siekmann
Subseries of Lecture Notes in Computer Science
Vasile Palade Robert J. Howlett Lakhrni Jain (Eds.)
dge-Based ent Information
and Engineering Systems
7th International Conference, KES 2003 Oxford, UK, September 3-5,2003 Proceedings, Part I1
Springer
Series Editors
Jaime G. Carbonell, Carnegie Mellon University, Pittsburgh, PA, USA Jorg Siekmann, University of Saarland, Saarbriicken, Germany
Volume Editors
Vasile Palade Oxford University, Computing Laboratory Parks Road, Oxford OX1 3QD, United Kingdom E-mail: [email protected] Robert 3. Howlett University of Brighton, Intelligent Systems and Signal Processing Labs Moulsecoomb, Brighton BN2 4GJ, United Kingdom E-mail: [email protected]
Lakhmi Jain University of South Auswalia Knowledge-Based Intelligent Engineering Systems Centre Mawson Lakes, Adelaide, SA 5095, Australia E-mail: [email protected]
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CR Subject Classification (1998): 1.2, H.4, H.3, E l , J.l, (2.2, H.5, K.6, K.4
ISSN 0302-9743 ISBN 3-540-40804-5 Springer-Verlag Berlin Heidelberg New York
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Preface
Delegates and friends, I am very pleased to extend to you the warmest of wel- comes to this, the seventh International Conference on I(now1edge-Based Intel- ligent Information and Engineering Systems at the University of Oxford in the UK. It was a great pleasure to be involved in the organization of this popular conference, and it gives us a great deal of satisfaction to be so involved.
The KES conference series is now well established, and it continues each year to attract participants from all geographical areas of the world, including Europe, the Americas, Australasia, and the Pacific Rim. The conference continues to attract large numbers of papers. We are impressed this year by the quality of the papers we have received and the wide range of topics. I am sure that the presentations will be of great interest to you as delegates, and will act as useful catalysts for discussion.
The papers for KES 2003 were either submitted to Invited Sessions, chaired and organized by respected experts in their fields, or to General Sessions, man- aged by an extensive International Program Committee. Whichever route they came through, all papers for KES 2003 were thoroughly reviewed. This has re- sulted in a satisfying level of quality in the accepted papers appearing in the proceedings.
Thanks are due to very many people who have given their time and goodwill freely to male the conference a success. Thanking individuals is always fraught with difficulty, as someone is always unintentionally omitted. The conference Administrator, Maria Booth, the ICES Secretariat at the University of Brighton, together with the local Oxford Committee have all worked hard to bring the conference to a high level of organization, and we thank them. The Interna- tional Program Committee gave their expertise in the review of the papers and we are grateful for that. We particularly thank the Invited Session Chairs Com- mittee for bringing many interesting sessions to the conference. We thank the keynote speakers for their high-profile keynote talks. Finally, we thank the au- thors, presenters, and delegates without whom the conference would not take place.
Knowledge-based intelligent engineering systems continue to be a subject that attracts the interest of researchers, and makes a significant contribution to the world economy. We are fortunate to be involved in such a fascinating research area. Enjoy your conference, and we loolc forward to meeting you and talking with you.
July 2003 Vasile Palade, Bob Howlett, and Lakhmi Jain
KES 2003 Conference Organization
General Chair
Vasile Palade Computing Laboratory, Oxford University, UI<
Honorary Founder Chair
Lalchmi Jain Knowledge-Based Intelligent Information Engineering Systems Centre, University of South Australia, Australia
Executive Chair
Bob Howlett Intelligent Systems and Signal Processing Laboratories / KTP Centre, University of Brighton, UK
Administration
Conference Administrator
M. Booth, University of Brighton, UK
KES Journal General Editor
B. Gabrys, University of Bournemouth, UK
Conference Liaison
S.D.Walters, University of Brighton, UK
Local Organizing Committee
K. Chinnasarn, S. Moyle, S. Rodtook, A. Srinivasan, J.Z. Suklcarieh Oxford University, UK
Organization VII
International Program Committee
Ajith Abraham, Oklahoma State University, USA Uwe Aicltelin, University of Bradford, UK Norio Baba, Osalta-Kyoiltu University, Japan Robert Babuska, Delft University of Technology, The Netherlands Andrzej Bargiela, Nottingham Trent University, UK Severin Bumbaru, University of Galati, Romania Jonathon Chambers, Icing's College London, UK Susan Craw, Robert Gordon University, Aberdeen, UK Ernesto Damiani, University of Milan, Italy Manuel Fernandez Delgado, University of Santiago de Compostela, Spain Vladan Devedzic, University of Belgrade, Serbia and Montenegro Didier Dubois, Universite Paul Sabatier, Toulouse, France Anna Maria Fanelli, University of Bari, Italy Colette Faucher, University of Aix-Marseille 111, France Toshio Fukuda, Nagoya University, Japan Kunihiko Fukushima, Tolcyo University of Technology, Japan Colin Fyfe, University of Paisley, UK Bogdan Gabrys, University of Bournemouth, UK Joydeep Ghosh, University of Texas, Austin, USA Marlt Girolami, University of Paisley, UK Adolf Grauel, University of Applied Sciences, Germany Altay Giivenir, Bilkent University of Ankara, Turkey Susan Haller, University of Wisconsin - Parkside, USA Robert F. Harrison, University of Sheffield, UK Ioannis Hatzilygeroudis, University of Patras, Greece Altira Hirose, University of Tokyo, Japan Nikhil Ichalkaranje, University of South Australia, Adelaide, Australia Taltumi Ichimura, Hiroshima City University, Japan Hisao Ishibuchi, Osaka Prefecture University, Japan Yoshiteru Ishida, Toyohashi University of Technology, Japan Naohiro Ishii, Nagoya Institute of Technology, Japan Janusz Kacprzylc, Polish Academy of Sciences, Poland Falthri Karray, University of Waterloo, Canada Ron Kates, REK Consulting, Germany Piet Kommers, University of Twente, The Netherlands Andreas Konig, University of Dresden, Germany Ludmilla I. Kuncheva, University of Wales Bangor, UK Beatrice Lazzerini, University of Pisa, Italy C.P. Lim, University of Science, Malaysia Vincenzo Loia, University of Salerno, Italy Donald MacDonald, University of Paisley, UK Nadia Magnenat-Thalmann, University of Geneva, Switzerland Manuel Mora, Universidad Autonoma de Aguascalientes, Mexico Steve Moyle, Oxford University, UK
VIII Organization
Jun Munemori, Walayama University, Japan Hirofumi Nagashino, University of Tokushima, Japan Zensho Nakao, University of the Ryukyus, Japan Daniel Neagu, University of Bradford, UK Mircea Gh. Negoita, Wellington Institute of Technology, New Zealand Toyoalti Nishida, University of Tokyo, Japan Vesa A. Nislanen, University of Helsinki, Finland Nilrhil R. Pal, Indian Statistical Institute, Calcutta, India Ron J. Patton, University of Hull, UK Witold Pedrycz, University of Alberta, Canada Vincenzo Piuri, Politecnico di Milano, Italy Bhanu Prassad, Georgia South-Western State University, USA Bernd Reusch, University of Dortmund, Germany Raj kumar Roy, Cranfield University, UK Marco Russo, University of Messina, Italy David Sanchez, Neurocomputing, Elsevier, USA Manfred Schmitt, Technical University of Munich, Germany Jonathan Shapiro, University of Manchester, UK Clarence W. de Silva, University of British Columbia, Canada Ashwin Srinivasan, Oxford University, UK Maria Taboada, University of Santiago de Compostela, Spain Katsumi Tanaka, Kyoto University, Japan Lionel Tarassenko, Oxford University, UK Eiichiro Tazalti, Toin University of Yolohama, Japan George Tecuci, George Mason University, USA Horia-Nicolai Teodorescu, Technical University of Iasi, Romania Shusalru Tsumoto, Shimane Medical University, Japan Dan Tufis, Artificial Intelligence Institute, Romanian Academy,
Bucharest, Romania Spyros Tzafestas, Technical University of Athens, Greece Rao Vemuri, University of California at Davis, USA Jose Verdegay, University of Granada, Spain Rob Vingerhoeds, ENIT, France Simon D. Walters, University of Brighton, UK Graham Winstanley, University of Brighton, UK Xindong Wu, University of Vermont, USA
Organization IX
Invited Session Chairs Committee
Norio Baba, Osalta-Kyoiltu University, Japan Marina Resta, University of Genova, Italy Hirotaka Nakayama, Konan University, Japan Seiichi Ozawa, Kobe University, Japan Yasue Mitsultura, Okayama University, Japan Minoru Fukumi, University of Toltushima, Japan Fumialti Takeda, Kochi University of Technology, Japan Javier Carbo, University Carlos 111 of Madrid, Spain Julio C. Hernandez, University Carlos I11 of Madrid, Spain Giovanna Castellano, University of Bari, Italy Ciro Castiello, University of Bari, Italy Corrado Mencar, University of Bari, Italy Chuei-Tin Chang, National Cheng Kung University Tainan, Taiwan Jonathon Chambers, King's College London, UK Andreas Jaltobsson, King's College London, UK Massimo Cossentino, National Research Council, Italy Antonio Chella, University of Palermo, Italy Yen-Wei Chen, Ryultyus University, Japan t
Antonio Fernandez-Caballero, University of Castilla-La Mancha, Spain Manuel Fernandez Delgado, University of Santiago de Compostela, Spain Guissepi Forgionne, University of Maryland Baltimore County, USA Manuel Mora, Universidad Autonoma de Aguascalientes, Mexico Jatinger N.D. Gupta, University of Alabama at Huntsville, USA Kunihilto Fukushima, Tokyo University of Technology, Japan Claude Ghaoui, Liverpool John Moores University, UK Ugur Halici, Middle East Technical University, Turkey Ioannis Hatzilygeroudis, University of Patras, Greece Altira Hirose, University of Tolyo, Japan Talcumi Ichimura, Hiroshima City University, Japan Katsumi Yoshida, St. Marianna University, Japan Masahito Aoyama, Hiroshima City University, Japan Toshiyulti Yamashita, Tolyo Metropolitan Institute of Technology, Japan Yoshiteru Ishida, Toyohashi University of Technology, Japan Naohiro Ishii, Nagoya Institute of Technology, Japan Yoshinori Adachi, Chubu University, Japan Takamasa Koshizen, Honda R&D Co. Ltd., Wako Research Center, Japan Beatrice Lazzerini, University of Pisa, Italy Francesco Mascelloni, University of Pisa, Italy Kim Le, University of Canberra, Australia Laurent Lecornu, ENST Bretagne, Fsance Renaud Debon, ENST Bretagne, France Igiiac Lovrelt, University of Zagreb, Croatia Frank Lui, Defence Science and Technology Organization, Australia Nilthil Ichallcaranje, University of South Australia, Adelaide, Australia
X Organization
Jun Munemori, Walayama University, Japan Takashi Yoshino, Walayama University, Japan Talaya Yuizono, Shimane University, Japan Hirofumi Nagashino, University of Tokushima, Japan Abhijit S. Pandhya, Florida Atlantic University, USA Norilco Nagata, Kwansei Gakuin University, Japan Hiroyasu Koshimizu, Chulcyo University, Japan Seiji Inokuchi, Osaka University, Japan Ryohei Nakatsu, Kwansei Galcuin University, Japan Daniel Neagu, University of Bradford, UK Vasile Palade, Oxford University, UK Mircea Gh. Negoita, Wellington Institute of Technology, New Zealand Nengsheng Zhang, Institute of Manufacturing Technology, Singapore Kamal Youcef-Toumi, Massachusetts Institute of Technology, USA Weng-Feng Lu, Institute of Manufacturing Technology, Singapore Toyoalti Nishida, University of Tokyo, Japan Alain Cardon, University of Le Havre, France Rancisco Javier Ropero-Pelaez, University of Sao Paolo, Brazil Roberto Pirrone, University of Palermo, Italy Rancesco Alonge, University of Palermo, Italy Vincenzo Piuri, University of Milan, Italy Alberto Borghese, University of Milan, Italy Stefano Ferrari, University of Milan, Italy Cristina Segal, University of Galati, Romania Luminita Dumitriu, University of Galati, Romania Udo Seiffert, Leibniz Institute of Plant Genetics, Gatersleben, Germany Lalchmi Jain, University of South Australia, Adelaide, Australia Konstantinos Sirlantzis, University of Kent, UK Michael Fairhurst, University of Kent, UK Maria Taboada, University of Santiago de Compostela, Spain Ian Duncan, Lotter Actuarial Partners, New York, USA Yoshiyasu Talcefuji, Keio University, Japan Eiichiro Tazaki, University of Yokohama, Japan Kenneth J. Mackin, Tokyo University of Information Sciences, Japan Georgia Tourassi, Duke University, USA Kazuhiko Tsuda, University of Tsukuba, Tokyo, Japan Claudio Turchetti, University of Ancona, Italy
Organization XI
KES 2003 Reviewers
A. Abraham, Oklahoma State University, USA Y . Adachi, Chubu University, Japan U. Aickelin, University of Bradford, UK H. Ahriz, The Robert Gordon University, Aberdeen, UK M. Aoyama, Hiroshima City University, Japan E. Ardizzone, University of Palermo, Italy D. Arita, Kyushu University, Japan V. Ariton, Danubius University, Romania M.R. Asharif, Ryukyus University, Japan U. Averweg, Government Staff, South Africa N. Baba, Osaka-Kyoiku University, Japan N. Babaguchi, Osaka University, Japan R. Babusla, Delft University of Technology, The Netherlands L.A. Baccala, University of Sao Paolo, Brazil A. Badri, University of Liverpool, UK M. Barbulescu, George Mason University, USA A. Bargiela, Nottingham Trent University, UK B.L. Barranco, National Microelectronics Center, Seville, Spain C. Boicu, George Mason University, USA K. Bontcheva, University of Sheffield, UK P. Bresciani, ITC-irst, Italy S. Bumbaru, University of Galati, Romania K. Brian, Massachusetts Institute of Technology, USA M. Callisti, Whitestein Tecnologies AG, Germany J. Carbo, University Carlos I11 of Madrid, Spain G. Castellano, University of Bari, Italy C. Castiello, University of Bari, Italy J. Chambers, King's College London, UK C.-T. Chang, National Cheng Kung University, Taiwan A. Chella, University of Palermo, Italy C.-L. Chen, National Taiwan University, Taiwan Y.-W. Chen, Ryukyus University, Japan A. Christea, Eindhoven University of Technology, The Netherlands M. Cossentino, Italian National Research Council, Italy S. Craw, Robert Gordon University, Aberdeen, UK M. Cronin, Liverpool John Moores University, UK E. Damiani, University of Milan, Italy T. Deguchi, Gifu National College of Technology, Japan M.F. Delgado, University of Santiago de Compostela, Spain J. Dempster, University of Warwiclc, UK F. Deravi, University of Kent, UK V. Devedzic, University of Belgrade, Serbia and Montenegro F. J. Diez, UNED, Spain V. Dimitrova, University of Leeds, UK
XI1 Organization
P. Donzelli, Dept. for Innovation and Technologies of the Italian Gov., Italy D. Dubois, Universite Paul Sabatier, Toulouse, France P. Duggan, Liverpool John Moores University, UK L. Dumitriu, University of Galati, Romania A. Eales, Wellington Institute of Technology, New Zealand J . Eggert, Honda Research Institute Europe Inc., Germany M.C. Fairhurst, University of Kent, UK A.M. Fanelli, University of Bari, Italy C. Faucher, University of Aix-Marseille 111, France P. Felix, University of Santiago de Compostela, Spain G. Forgionne, University of Maryland Baltimore County, USA M. Frean, Victoria University of Wellington, New Zealand T. Fukuda, Nagoya University, Japan M. Fukumi, University of Tolrushima, Japan K. Fukushima, Tokyo University of Technology, Japan C. Fyfe, University of Paisley, UK B. Gabrys, University of Bournemouth, UK B. Garrett, Oxford Broolres University, UK L. Garrido, ITESM, Mexico A. Gelman, University of Arizona, USA C. Ghaoui, Liverpool John Moores University, UK D. Ghica, Oxford University, UK G. Gini, Politecnico di Milano, Italy P. Giorgini, University of Trento, Italy M. Girolami, University of Paisley, UK J. Goguen, University of California at San Diego, USA T.S. Gotarredona, National Microelectronics Center, Seville, Spain F. Grasso, University of Liverpool, UK A. Grauel, University of Applied Sciences, Germany J.N.D. Gupta, University of Alabama at Huntsville, USA A. Giivenir, Bilkent University of Ankara, Turkey S. Haller, University of Wisconsin - Parkside, USA A. Hara, Hiroshima City University, Japan R.F. Harrison, University of Sheffield, UK P. Hartono, Waseda University, Japan Y. Hasegawa, Honda Research Institute Japan Inc., Japan I, Hatzilygeroudis, University of Patras, Greece I. Hayashi, Hannan University, Japan N. Henze, University of Hanover, Germany 0. Herden, Horb University, Germany J.C. Hernandez, University Carlos I11 of Madrid, Spain A. Hirose, University of Tokyo, Japan S. Hoque, University of Kent, UK G. Howells, University of Kent, UK N. Ichalkaranje, University of South Australia, Adelaide, Australia
Organization XI11
T. Ichimura, Hiroshima City University, Japan S. Inokuchi, Osaka University, Japan N. Inuzuka, Nagoya Institute of Technology, Japan H. Ishibuchi, Osaka Prefecture University, Japan Y. Ishida, Toyohashi University of Technology, Japan N. Ishii, Nagoya Institute of Technology, Japan S. Ito, Japan Advanced Institute of Science and Technology, Japan Y. Ivanov, Honda Research Institute America Inc., USA M. Iwata, University of Electro-Communications, Japan L.C. Jain, University of South Australia, Adelaide, Australia A. Jakobsson, King's College London, UK S.-S. Jang, National Tsing Hua University, Taiwan W. Janvier, Liverpool John Moores University, UK B. Jayatilaka, Binghamton University, USA J. Kacprzyk, Polish Academy of Sciences, Poland K. Kakusho, Kyoto University, Japan R. Kates, REK Consulting, Germany H. Kawada, Nagoya Women's University, Japan M. Kilcuchi, Tokyo University of Technology, Japan Y. Kinouchi, University of Tolcushima, Japan F. Kirchner, Bremen University, Germany E. Koernar, Honda Research Institute Europe Inc. A. Konar, Jadavpur University Calcutta, India T. Kondo, University of Tolcushima, Japan A. Konig, University of Dresden, Germany H. Koshimizu, Chulyo University, Japan T. Koshizen, Honda R&D Co. Ltd., Walco Research Center, Japan L.I. Kuncheva, University of Wales Bangor, UK C. Kuroda, Tokyo Institute of Technology, Japan S. Kurohashi, University of Tokyo, Japan Y. Kurosawa, Hiroshima City University, Japan M. La Cascia, University of Palermo, Italy S. Lambotharan, King's College London, UK B. Lazzerini, University of Pisa, Italy P. Leng, University of Liverpool, UK C.P. Lim, University of Science, Malaysia J.A. Lopez-Alcantud, University of Murcia, Spain I. Lovrek, University of Zagreb, Croatia F. Lui, Defence Science and Technology Organization, Australia B. MacCallum, Stoclcholm University, Sweden D. MacDonald, University of Paisley, UK K.J. Maclcin, Tokyo University of Information Sciences, Japan N. Magnenat-Thalmann, University of Geneva, Switzerland F. Marcelloni, University of Pisa, Italy M. Marcos, University Jaume I, Spain
XIV Organization
D. Marcu, George Mason University, USA D. Martinez, University of Santiago de Compostela, Spain S. McKinlay, Wellington Institute of Technology, New Zealand C. Mencar, University of Bari, Italy K. Mera, Hiroshima City University, Japan E. Millan, University of Malaga, Spain M. Minoh, Kyoto University, Japan Y. Mitsukura, Okayama University, Japan T. Mizuno, Shizuola University, Japan M. Mora, Universidad Autonoma de Aguascalientes, Mexico Y. Moriya, Aichi Galcusen University, Japan S. Moyle, Oxford University, UK J . Munemori, Walayama University, Japan N. Nagata, Kwansei Galtuin University, Japan H. Nagashino, University of Tokushima, Japan Y. Nakamura, University of Tsulcuba, Japan Z. Nakao, Ryulcyus University, Japan H. Naltayama, Konan University, Japan U. Naomi, Nagoya University of Technology, Japan D. Neagu, University of Bradford, UK M. Gh. Negoita, Wellington Institute of Technology, New Zealand I. Nemoto, Tokyo Denlci University, Japan C. Ng, Yuan Ze University, Taiwan A. Niimi, Future University-Haltodate, Japan T. Nishida, University of Tokyo, Japan E. Nunohiro, Tokyo University of Information Sciences, Japan P. Nykanen, STAKES, Finland T. Ohnuki, Nagoya Institute of Technology, Japan S. Oeda, Tokyo Metropolitan Institute of Technology T. Olamoto, Kanagawa Institute of Technology, Japan S. Omatu, Osaka Prefecture University, Japan M. Ozaki, Chubu University, Japan S. Ozawa, Kobe University, Japan N.R. Pal, Indian Statistical Institute, Calcutta, India J.T. Palma, University of Murcia, Spain AS . Pandhya, Florida Atlantic University, USA E. Pecheanu, University of Galati, Romania W. Pedrycz, University of Alberta, Canada V. Piuri, Politecnico di Milano, Italy '
J . Pomylalslci, Susquehanna University, USA B. Prassad, Georgia South-Western State University, USA J. Prentzas, University of Patras, Greece G. Puscasu, University of Galati, Romania R.T. Ramos, University of Sao Paolo, Brazil E.M. Raybourn, Sandia National Labs, USA
Organization XV
H. Reichgelt, Georgia Southern University, USA M. Resta, University of Genova, Italy B. Reusch, University of Dortmund, Germany R.1. Rodriguez, University of Santiago de Compostela, Spain F.J. Ropero-Pelaez, University of Sao Paolo, Brazil I. Russell, University of Hartford, USA M. Russo, University of Messina, Italy L. Sabatucci, Italian National Research Council, Italy R. Saltamoto, Japan Advanced Institute of Science and Technology, Japan A. Sato, University of Tsukuba, Japan F. Sato, Shizuoka University, Japan S. Satoh, Toholtu University, Japan C. Segal, University of Galati, Romania J . Shapiro, University of Manchester, UK G. Siegle, University of Pittsburgh, USA J.M. Sierra, University Carlos 111 of Madrid, Spain K. Sirlantzis, University of Kent, UK S. Smith, Middlesex University, UK D. Spenneberg, Bremen University, Germany A. Srinivasan, Oxford University, UK A. Stam, University of Missouri, USA B. Stanescu, George Mason University, USA D. Stefanescu, University of Galati, Romania D. Stefanoiu, University of Applied Sciences, Konstanz, Germany M. Sulta, St. Marianna University, Japan M. Taboada, University of Santiago de Compostela, Spain T. Taguchi, Nagoya Women's University, Japan F. Talteda, Kochi University of Technology, Japan T. Tanala, Fultuolta Institute of Technology, Japan R. Taniguchi, Kyushu University, Japan S.F. Taniguchi, Albert Einstein Hospital School of Health, Sao Paolo, Brazil Y. Talama, Tokyo Metropolitan Institute of Technology, Japan A. Tay, Nanyang Technological University, Singapore E. Tazaki, University of Yokohama, Japan G. Tecuci, George Mason University, USA S. Thompson, BTexact Research, UK R.M. Tomas, National University of Distance Education, Spain H. Tsujino, Honda Research Institute Japan Inc., Japan N. Tsuruta, Fukuolta University, Japan D. Tufis, Artificial Intelligence Institute, Romanian Academy,
Bucharest, Romania J. Tweedale, Defence Science and Technology Organization, Australia K. Ueda, University of Tokyo, Japan H. Ukida, University of Toltushima, Japan P. Urlings, Defence Science and Technology Organization, Australia
XVI Organization
M. Usuki, Japan Advanced Institute of Science and Technology, Japan J . Verdegay, University of Granada, Spain R. Vemuri, University of California at Davis, USA R. Vingerhoeds, ENIT, France M. Virvou, University of Piraeus, Greece S. Vitabile, Italian National Research Council, Italy D. Vogel, Ross University, Dominica S.D. Walters, University of Brighton, UK J. Wang, Institute of Manufacturing Technology, Singapore Y. Watanabe, Toyohashi University of Technology, Japan G. Winstanley, University of Brighton, UK N. Wiratunga, The Robert Gordon University, Aberdeen, UK F. Wittig, University of Saarbrucken, Germany C.R. Wren, Mitsubishi Electric Research Laboratories, Japan G. Wren, University of Maryland Baltimore County, USA X. Wu, University of Vermont, USA K. Yamasaki, Tolryo University of Information Sciences, Japan K. Yamashita, Osaka Prefecture University, Japan T. Yamashita, Tolryo Metropolitan Institute of Technology, Japan Y. Yamashita, Tohoku University, Japan M. Yamura-Talrei, Hiroshima City University, Japan I<. Yoshida, St. Marianna University, Japan T. Yoshino, Walayama University, Japan T. Yuizono, Shimane University, Japan N. Zhang, Institute of Manufacturing Technology, Singapore
Table of Contents, Part I1
Advances on Adaptive Resonance Theory and Applications
Putting the Utility of Match Tracking in Fuzzy ARTMAP Training to the Test Georgios C. Anagnostopoulos and Michael Georgiopoulos . . . . . . . . . . . . . . . . . . . . 1
An ART-Based Hybrid Networlc for Medical Pattern Classification Taslts with Missing Data Chee Peng Lim, Mei Ming Kuan, and Robert F. Harrison.. . . . . . . . . . . . . . . . . . 7
Combining Support Vector Machines and ARTMAP Architectures for Natural Classification
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Alberto Mufioz and Javier M , Moguerza.. 16
ART-Based Neuro-fuzzy Modelling Applied to Reinforcement Learning Konstantinos C. Zikidis and Spyros G. Tzafestas . . . . . . . . . . . . . . . . . . . . . . . . . . 22
AFC: ART-Based Fuzzy Classifier . . . . . . . . . . . . . . . . . . . . . . . . . . . Elena P. Sapozhnikova and Wolfgang Rosenstiel 30
Intelligent Decision Support Malcing Systems
Intelligent Assistance, Retrieval, Reminder and Advice for Fuzzy Multicriteria Decision-Malting
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Jocelyn Sun Pedro and Frada Burstein 37
Facilitating Electronic Business Planning with Decision Malcing Support Systems Lidan Ha, Guisseppi Forgionne, and Fen Wang . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45
Critical Context for Decision Malcing: A Modeling Approach Based on a Re-planning Tool
. . . . . . . . . . . . . . . . . . . . . . Guy Camilleri, Jean-Luc Soubie, and Pascale Zaratk. 52
A Framework to Assess Intelligent Decision-Making Support Systems M. Mora, G. Forgionne, J. Gupta, F. Cervantes, and 0. Gelman . . . . . . . . . . 59
An Information Market for Multi-agent Decision Making: Observations from a Human Experiment Bartel Van de Walle and Mihai Moldovan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66
XVIII Table of Contents, Part I1
Classification of Decision-Behavior Patterns in Multivariate Computer Log Data Using Independent Component Analysis Serafeim Fragos, Lampros K . Stergioulas, and Costas S . Xydeas.. . . . . . . . . . . 73
Design, Integration and Evaluation of an Artificial Intelligence-Based Control System for the Improvement of the Monitoring and Quality Control Process in the Manufacturing of Metal Casting Components Emma L. Mares and Jerry H. Sokolowski . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80
Developing Intelligent Decision Support Systems: A Bipartite Approach Alexandre Gachet and Pius Haettenschwiler . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87
Fuzzy Support Systems for Discretionary Judicial Decision Malting Felipe Lara-Rosano and Maria del Socorro Tkllez-Silva . . . . . . . . . . . . . . . . . . . . . 94
Intelligent Decision Malting Support through Just-in-Time Knowledge Management Nabie Y. Conteh and Guisseppi Forgionne.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101
Integrating Simulation and Argumentation in Organizational Decision Malting Nikos Karacapilidis and Emmanuel Adamides, . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107
Neura l Networks for Vision - Biological a n d Artificial
Perceptual Grouping to Motion Direction and Speed in Apertures Isao Hayashi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115
Assignment of Figural Side to Contours Based on Symmetry, Parallelism, and Convexity Masayuki Kikuchi and Kunihiko Fukushima.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123
Neural Network Model Restoring Partly Occluded Patterns Kunihiko Fukushima . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131
Face Localization in the Neural Abstraction Pyramid Sven Behnke . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 139
A Model for Selective Visual Attention Based on Discrete Scale-Spaces Shunji Satoh and Shogo Miyalce.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147
A Trainable Object-Detection Method Using Equivalent Retinotopical Sampling and Fisher Kernel Hirotaka Niitsuma.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 155
Self-organizing Feature Maps for HMM Based Lip-Reading Naoyuki Tsuruta, Hirotaka Iuchi, Alaa El. Sagheer, and Tarek El. Tobely . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 162
Table of Contents, Part I1 XIX
A Convolutional Neural Network VLSI for Image Recognition Using MergedIMixed Analog-Digital Architecture I{eisuke Korekado, Takashi Morie, Osamu Nomura, Hiroshi Ando,
. . . . . . . . . . . . . . . . . . . Teppei Nakano, Masakazu Matsugu, and Atsushi Iwata 169
Promot ing S m a r t User-Centred Approaches in Innovative Teaching a n d Learning
Making Intelligent Learning Technologies Meaningful: Practical Lessons Learnt from Public Administration Training Programs in South Africa and Canada
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Albert A. Einsiedel, Jr.. 177
Using Communication Preference and Mapping Learning Styles to Teaching Styles in the Distance Learning Intelligent Tutoring System - WISDeM
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . William A. Janvier and Claude Ghaoui.. 185
Evaluation of Discussions in Online Classrooms . . . . . . . . . . . . . . . . . . . . . . . . . . . Aiman Badri, Floriana Grasso, and Paul Leng 193
Web-Based Synchronized Multimedia System Design for TeachingILearning Chinese as a Foreign Language
. . . . . . . . . . . . . . . . . . . . . . . Natalius Huang, Herng- Yow Chen, and R. C. T. Lee 201
An Integrated Courseware Usability Evaluation Method Maria Alexandra Rentroia-Bonito and Joaquim Armando Pires Jorge . . . . . 208
opment of a Level-Based Instruction Model b-Based Education
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . njung Park and Maenghee Kim 215
chniques i n Web-Based Educational Systems
Fuzzy Techniques to Model Students b-Based Learning Environments
. . . . . . . . . . . . . . . . . . . . . . . . . Kosba, Vania Dimitrova, and Roger Boyle 222
of Conceptual Graphs for Interactive Student Modelling aptive Web Explanations
Dimitrova and Kalina Bontcheva.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 230
ting Collaborative Knowledge Building with Intelligent Agents Chen, Jan Dolonen, and Barbara Wasson.. . . . . . . . . . . . . . . . . . . . . . . . 238
ersonalised Recommendations ed Education System
O'Riordan and Josephine Grifith.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 245
XX Table of Contents, Part I1
A Rule-Based Formalism for Describing Collaborative Adaptive Courses Rosa M. Carro, Alvaro Ortigosa, and Johann Schlichter . . . . . . . . . . . . . . . . . . 252
User Modeling on Adaptive Web-Based Learning Communities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Elena Gaudioso and Jesus G. Boticario.. 260
Preventing Student Dropout in Distance Learning Using Machine Learning Techniques S.B. Kotsiantis, C.J. Pierrakeas, and P.E. Pintelas.. . . . . . . . . . . . . . . . . . . . . . 267
Evaluation of an Intelligent Web-Based Language Tutor . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Victoria Tsiriga and Maria Virvou 275
Domain Knowledge Acquisition and Plan Recognition by Probabilistic Reasoning Manolis Maragoudakis, Aristomenis Thanopoulos, Kyriakos Sgarbas,
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . and Nikos Fakotakis 282
Web Based Education as a Result of A1 Supported Classroom Teaching Gerald Friedland, Lars Knipping, Radl Rojas, and Ernesto Tapia . . . . . . . . . 290
From Web-Based Educational Systems to Education on the Web: On the Road to the Adaptive Web
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Nicola Henze 297
Complex-Valued Neural Networks
Qubit Neural Networlc and Its Efficiency Noriaki Kouda, Nobuyuki Matsui, Haruhiko Nishimura,
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . and Ferdinand Peper 304
Performance of Adaptive Beamforming by Using Complex-Valued Neural Network
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Andriyan Bayu Suksmono and Akira Hirose 311
Quaternion Neural Network and Its Application Teijiro Isokawa, Tomoaki Kusakabe, Nobuyuki Matsui,
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . and Ferdinand Peper 318
Building Up of a Pen Oriented Human-Software Interface with Complex-Valued Spiking Machines A. Ardouin, N. Brouard, C. Moreau, R. Plouvier, S. Rouchy, and G. Vaucher . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 325
Pitch-Asynchronous Overlap-Add Waveform-Concatenation Speech Synthesis by Using a Phase-Optimizing Neural Network Keiichi Tsuda and Akira Hirose . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 332
Table of Contents, Part I1 XXI
A Data-Reusing Gradient Descent Algorithm for Complex-Valued Recurrent Neural Networks
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Su Lee Goh and Danilo P. Mandic. . 340
Some Properties of the Network Consisting of Two Complex-Valued Nagumo-Sato Neurons
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Iku Nemoto 351
Knowledge Based Computer Assisted Systems for Health Care
Ontology-Based Medical Information Service System Hirokazu Taki, Noriyuki Matsuda, Michiyasu Hiramatsu, Yuki Naito, Jiro Nakajima, Tadashi Nakamura, Akihisa Imagawa, Yuji Matsuzawa, Norihiro Abe, and Satoshi Hori . . . . . . . . . . . . . . . . . . . . . . . . . 358
Abstraction of Long-Term Changed Tests in Mining Hepatitis Data Saori Kawasaki, Tu Bao Ho, and Dung Dong Nguyen. . . . . . . . . . . . . . . . . . . . 366
A Classification Capability of Reflective Neural Networlts in Medical Databases Takumi Ichimura, Shinichi Oeda, Machi Suka, and Katsumi Yoshida. . . . . . 373
A Classification Method of Medical Database by Immune Multi-agent Neural Networlts with Planar Lattice Architecture Takumi Ichimura, Shinichi Oeda, Toshiyuki Yamashita, and Katsumi Yoshida.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 380
Physiological Simulation by Integrating a Circulatory System Model with Beat-by-Beat Hemodynamics I'en'ichi Asami and Tadashi Kitamura.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 388
Collimation Detection in Digital Radiographs Using Plane Detection Hough nansform Ikuo Kawashita, Masahito Aoyama, Tomoaki Kajiyama, and Naoki Asada . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 394
Automated Cerebral Arteries Segmentation and Diameter Measurement of Aneurysm from MR Angiograms Masahito Aoyama, Ikuo Kawashita, Yoko Naruse, Naoki Asada, and Kazuo Awai . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 402
Data Mining for Seelting Relationships between Sicltness Absence and Japanese Worker's Profile Hiroki Sugimori, Yukiyasu Iida, Machi Suka, Takumi Ichimura, and Katsumi Yoshida.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 410
Clinical Decision Support System Applied the Analytic Hierarchy Process Machi Suka, Takumi Ichimura, and Katsumi Yoshida.. . . . . . . . . . . . . . . . . . . . 417
XXII Table of Contents, Part I1
Intelligent Human Computer Interaction Systems
Emotion Generating Calculations Based on Hidden Marlcov Model Kazuya Mera and Takumi Ichimura . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 424
Support System for Analysis of Student's Motivation in Group Learning Manabu Nakamura, Takumi Ichimura, Kazuya Mera, and Setsuko Otsuki.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 432
Personalization of Help System Output in the F'rameworlc of Everyday Language Computing Shino Iwashita, Ichiro Kobayashi, Noriko Ito, Toru Sugimoto, and Michio Sugeno . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 439
A Description Method of Syntactic Rules on Japanese Filmscript Yoshiaki Kurosawa, Takumi Ichimura, and Teruaki Aizawa . . . . . . . . . . . . . . . 446
I(now1edge Structure for Acquiring Personal Taste Information Kazuya Mera and Takumi Ichimura . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 454
A Proposal of Kansei Description for Multimedia Contents Kaori Yoshida.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 461
Interactive Navigation for Problem-Solving Oriented Learning Processes Kazuhisa Seta, Kei Tachibana, and Motohide Umano . . . . . . . . . . . . . . . . . . . . . 466
Multi-objective Decision Malting by AHP and Its Application to Personal Preference Retrieval System Takumi Ichimura, Akira Hara, Tetsuyuki Takahama, Yoshinori Isomichi, and Rie Utsunomiya . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 474
Interactive Design Support System by Customer Evaluation and Genetic Evolution: Application to Eye Glass n a m e Hideyoshi Yanagisawa and Shuichi Fukuda.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 481
Immunity-Based Systems
Towards an Immunity-Based System for Detecting Masqueraders Takeshi Okamoto, Takayuki Watanabe, and Yoshiteru Ishida.. . . . . . . . . . . . . 488
Noisy Channel and Reaction-Diffusion Systems: Models for Artificial Immune Systems Vincenzo Cutello and Giuseppe Nicosia.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 496
Immunity-Based Approaches for Self-Monitoring in Distributed Intrusion Detection System Yuji Watanabe and Yoshiteru Ishida.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 503
Table of Contents, Part I1 XXIII
Idiotypic Network Model for Feature Extraction in Pattern Recognition - Effect of Diffusion of Antibody Toshiyuki Shimooka and Koichi Shimizu . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 511
Mechanism of a Transient but Long-Lasting Immune Memory Function on a Self/Non-Self Boundary Kouji Harada and Norio Shiratori . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 519
A Proposal of Immune Multi-agent Neural Networks and Its Application to Medical Diagnostic System for Hepatobiliary Disorders Shinichi Oeda, Takumi Ichimura, Toshiyuki Yamashita, and Katsumi Yoshida.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 526
Intelligent Knowledge-Based Interface Systems (I)
Development of an ESP E-learning Tool Using In-House Corpora Yukie Koyama,, Tomofumi Nakano, and Chikako Matsuura.. . . . . . . . . . . . . . 533
Evaluation of Learning Support System for Agent-Based C Programming Kazuhiko Nagao and Naohiro Ishii.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 540
EM Algorithm for Cleaning of Answers Generated by an E-learning System Tomofumi Nakano, Yukie Koyama, Nobuhiro Inuzuka, and Chikako Matsuura.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 547
Reinforcement Learning Methods to Handle Actions with Differing Costs in MDPs Takahisa Ishiguro, Tohgoroh Matsui, Nobuhiro Inuzuka, and Koichi Wada.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 553
Intelligent Knowledge-Based Interface Systems (11)
Extraction of Face Parts by Using Flesh Color and Boundary Images . . . . . . . . . . . . . . . . . . Yoshinori Adachi, Saori Takeoka, and Masahiro Ozaki.. 561
Web Type CAI System with Dynamic Text Change from Database by Understanding Masahiro Ozaki, Koji Koyama, Yoshinori Adachi, and Naohiro Ishii . . . . . . 567
A Study on Saccadic Eye Movements at the Mutual Gazing Hiroshi Sasaki, Kazuhiro Murai, and Naohiro Ishii. . . . . . . . . . . . . . . . . . . . . . . . 573
Direction Selective Artificial Vision Model and the Layout for Analog VLSI Masashi Kawaguchi, Takashi Jimbo, Masayoshi Umeno, and Naohiro Ishii . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 578
XXIV Table of Contents, Part I1
Knowledge-Based and Cognitive Neuroscience Systems for Future Humanoid Robot Development
Cognitive Humanoid Robots Based on Complex Kinematic Features Frank Kirchner, Takamasa Koshizen, and Dirk Spenneberg . . . . . . . . . . . . . . . . 584
A Multi-layered Hierarchical Architecture for a Humanoid Robot . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Kenji Suzuki and Shuji Hashimoto.. 592
Active Detection of Anomalous Region as Primitive Processing for Visual Object Segregation Shinichi Nagai, Koji Akatsuka, Tetsuya Ido, Hiroshi Kondo,
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Atsushi Miura, and Hiroshi Tsujino 600
ANNA: An Artificial Neural Network for Attention to Emotional Recognition
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . J.G. Taylor and N. Fragopanagos.. 607
Attention-Based Robot Control . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . S . ICasderidis and J.G. Taylor. . 615
Industrial Applications of Soft Computing
Two Industrial Problems Solved through a Novel Optimization Algorithm M. Vannucci, V . Colla, G. Bioli, and R . Valentini.. . . . . . . . . . . . . . . . . . . . . . . 622
Do Neurofuzzy Systems Have Chances in Industrial Applications? Leonardo M. Reyneri . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 629
Clusterability and Centroid Approximation Alina Romero and Mukkai S. Krishnamoorthy . . . . . . . . . . . . . . . . . . . . . . . . . . . . 637
An Artificial Olfactory System for Quality and Geographical Discrimination of Olive Oils
. . . . . . . . . . Marco Cococcioni, Beatrice Lazzerini, and Francesco Marcelloni 647
A Fuzzy Logic Approach to Improve Manufacturing Effectiveness Riccardo Dulmin and Valeria Mininno.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 654
Intelligent Mobile Agents in Mobile Networks: All-Mobile Networks
Knowledge-Based Mobility Management in All-Mobile Network Ignac Lovrek and I/jekoslav Sinkovic.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 661
The Intelligent Agent-Based Control of Service Processing Capacity Dragan Jevtic, Marijan Kunstic, and Nenad Jerkovic.. . . . . . . . . . . . . . . . . . . . 668
Table of Contents, Part I1 xxv
Multi-agent System for Remote Software Operations Gordan Jezic, Mario Kusek, Sasa Desic, Ozren Labor, Antun Caric,
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . and Darko Huljenic.. 675
Command and Control (C2) and Situation Awareness - Reasoning in Intelligent Agents
A F'rigate Movement Survival Agent-Based Approach Pierrick Plamondon, Brahim Chaib-draa, Patrick Beaumont,
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . and Dale Blodgett 683
Weasel: A User Guided Enemy Course of Action Generator Caroline C. Hayes and Ujwala Ravinder . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 692
A Multi-agent System for Executing Group Tasks Jeremy W . Baxter and Graham S. Horn . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 697
Knowledge Elicitation and Decision-Modelling for Command Agents . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Marcus Watson and Frank Lui 704
The Wargame Infrastructure and Simulation Environment (Wise) Paul Pearce, Alan Robinson, and Susan Wright . . . . . . . . . . . . . . . . . . . . . . . . . . . 714
Intelligent Agents and Situation Awareness Pierre Urlings, Jeffrey Tweedale, Christos Sioutis,
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . and Nikhil Ichalkaranje
Intelligent Groupware
A New MPEG-2 Solution Using a 2nd ALU in the RISC Kunihiro Yamada, Yukihisa Naoe, Masanori Kojima,
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . and Tadanori Mizuno 734
Idea Generation Support System GUNGEN DX I1 beyond Papers Tomohiro Shigenobu, Takashi Yoshino, and Jun Munemori . . . . . . . . . . . . . . . 741
Data Processing Method of Small-Scale Five Senses Communication System Takashi Yoshino, Yoshinori Fujihara, and Jun Munemori . . . . . . . . . . . . . . . . . 748
A Bia l of a Bidirectional Learning Management Tool for Promoting Learning by Mobile Phone Kouji Yoshida, Kouiti Matsumoto, Kazuhiro Nakada, Tomonori Akutsu, Satoru Fujii, and Hiroshi Ichimura . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 756
Development of a Remote Communication System for Computer Novices and Their Instructors
. . . . . . . . . . Satoru Fujii, Jun Iwata, Kouji Yoshida, and Tadanori Mixuno.. 764
XXVI Table of Contents, Part I1
Personalized Environment for Skimming Documents Tessai Hayama, Takashi ICanai, and Susumu Kunifuji . . . . . . . . . . . . . . . . . . . . 771
GUNGEN-GO: Real-Time Groupware Development Environment for a Hypermedia System Takaya Yuizono, Takashi Yoshino, and Jun Munemori . . . . . . . . . . . . . . . . . . . . 779
Visualization Methods for Sharing Knowledge Pieces and Relationships Based on Biological Models Masao Usuki and ICozo Sugiyama.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 786
Intelligent Paradigms i n Biocybernetics a n d Biomedical Engineering
Functional Imaging of Tinnitus: Seeing of the Unseeable! Ali A . Danesh, Yohsuke Kinouchi, Deena L. Wener, and Abhijit Pandya.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 794
Brain Signal Source Localization Using a Method Combining BP Neural Networks with Nonlinear Least Squares Method Qinyu Zhang, Masatake Akutagawa, Xiaoxiao Bai, Hirofumi Nagashino, and Yohsuke Kinouchi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 800
System Identification of the Brain Dynamics by EEG Analysis Using Neural Networlts Toshio Kawano, Masatake Akutagawa, Qinyu Zhang, Hirofumi Nagashino, Yohsuke Kinouchi, Fumio Shichijo, and Shinji Nagahiro . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 807
A Neural Network Model for Pattern Recognition Hirohito Shintani, Hirofumi Nagashino, Masatake Akutagawa, and Yohsuke Kinouchi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 814
A Predictive Feedback Control Model Using NN and NLMS Malrey Lee, Dongju Im, Sung Su Park, Jung sik Lee, and Jae wanLee.. . . . 822
Intelligent Systems Design
Representing of Dependence Model and Class Testing Using Program Dependence Model Malrey Lee, Dong- Ju Im, SungSu Park, Jungsik Lee, Jaewan Lee, and Bumjun Cho . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 828
Secure Transaction Processing in Multi-expert Systems with Replicated Data Jeong Hyun-Cheol, Malrey Lee, and Bumjun Cho . . . . . . . . . . . . . . . . . . . . . . . . . 834
Table of Contents, Part I1 XXVII
Goal-Directed Design for Proactive and Intelligent Device Collaboration Michael VanHilst and Martin Griss. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 841
Recognition of X-ray Images by Using Revised GMDH-type Neural Networks Tadashi Kondo and Abhijit S. Pandya . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 849
Low Power Design of the Neuroprocessor A.S. Pandya, Ankur Agarwal, and P.K. K i m . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 856
Visual Sensing ahd Human Interface for Affective Computing
Age and Gender Estimation Based on Facial Image Analysis Jun-ichiro Hayashi, Hiroyasu Koshimizu, and Seiji Hata. . . . . . . . . . . . . . . . . . 863
Age and Gender Estimations by Modeling Statistical Relationship among Faces Takayuki Fujiwara and Hiroyasu Koshimizu. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 870
Subjective Age Obtained from Facial Images - How Old We Feel Compared to Others Noriko Nagata and Seiji Inokuchi.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 877
Robust Facial Parts Detection by Using Four Directional Features and Relaxation Matching Ken@ Iwata, Hitoshi Hongo, ICazuhiko Yamamoto, and Yoshinori Niwa . . . 882
Event Detection for a Visual Surveillance System Using Stereo Omni-directional System Hiroki Watanabe, Hidelci Tanahashi, Yutaka Satoh, Yoshinori Niwa, and Kazuhiko Yamamoto . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 890
Mental Workload of Ship's Navigator - A Few Comments on Heart Rate Variability during Navigational Watch Keeping Koji Murai, Yuji Hayashi, Noriko Nagata, and Seiji Inokuchi . . . . . . . . . . . . . 897
Face Dacliing System with Fixed CCD and PTZ Camera Takuma Funahashi, Tsuyoshi Yamaguchi, Masafumi Tominaga, George Lashkia, and Hiroyasu Koshimizu . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 904
Intelligent Techniques for Biology and Chemistry
A Study of Aquatic Toxicity Using Artificial Neural Networks Marian Viorel CrZciun, Daniel C. Neagu, Christoph Konig, and Severin Bumbaru . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 911
XXVIII Table of Contents, Part I1
Discovery of Toxicological Patterns with Lazy Learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Eva Armengol and Enric Plaza. . 919
Discovering Active Regions in Non-redundant Genome Databases . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . K. Ramesh and Shivashankar B . Nair 927
Neural Network Application to Eggplant Classification Yasuo Saito, Toshiharu Hatanaka, Katsuji Uosaki,
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . and Hidekazu Shigeto.. 933
Intelligent Optimal Control of a Biosynthesis Process Using a Neural Network Based Estimator Grigore Fetecc'iu, Viorel Nicolau, Vasile Palade, and Maria Fetecc'iu . . . . . . . 941
Methods and Applications of Intelligent Hybrid Systems
On the Analysis of Neural Networks for Image Processing Berend Jan van der Zwaag, Kees Slump, and Lambert Spaanenburg . . . . . . . 950
Development of Methods How to Avoid the Overfitting-Effect within the GeLog-System
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Gabriella Kdkai 958
An Optimal Algorithm for Combining Multivariate Forecasts in Hybrid Systems
. . . . . . . . . . . . . . . . . . . . . . . . . Ye, Bodyanskiy, P. Otto, I. Pliss, and S. Popov.. 967
Probabilistic Neuro-fuzzy Network with Non-conventional Activation Functions
. . . . . . . Ye. Bodyanskiy, Ye. Gorshkov, V . Kolodyazhniy, and J. Wernstedt 973
An Optimization of Data Mining Algorithms Used in Fuzzy Association Rules
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Dragos Arotaritei and Mircea Gh. Negoita 980
Some Test Problems Regarding Intelligent Tutoring Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Mircea Gh. Negoita and David Pritchard.. 986
Knowledge Based Methods and Applications for Product Development
A Web-Based Intelligent Forecasting System Xiang Li, King-Jim Hee, and Yushi Cheng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 993
A Tabu Search-Based Optimization Approach for Process Planning WD Li, S K Ong, YQ Lu, and A Y C Nee . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1000
Table of Contents, Part I1 XXIX
Automated Text Classification for Fast Feedback - Investigating the Effects of Document Representation Rakesh Menon, Loh Hun Tong, S. Sathiyakeerthi, and Aarnout Brombacher . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1008
A Solution to Billiard Balls Puzzle Using AO* Algorithm and Its Application to Product Development Zhu Fuxi, Tian Ming, and He Yanxiang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1015
A Product Model for Mass - Customisation Products Dennis Janitza, Martin Lacher, Maik Maurer, Udo Pulm, and Henning Rudo l f . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1023
Intelligent Media Technology for Communicative Intelligence
Partl: Embodied Conversational Agents and Intelligent Support for Content Creation
Embodied Conversational Agents for Presenting Intellectual Multimedia Contents Yukiko I. Nakano, Toshihiro Murayama, Daisuke Kawahara, Sadao Kurohashi, and Toyoaki Nishida . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1030
Channel Design for Strategic Knowledge Interaction Hidekazu Kubota and Toyoaki Nishida.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1037
Object Tracking and Task Recognition for Producing Interactive Video Content - Semi-automatic Indexing for QUEVICO Motoyuki Ozeki, Masatsugu Itoh, Hidekatsu Izuno, Yuichi Nakamura, and Yuichi Ohta. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1044
Structural Analysis of Instruction Utterances Tornohide Shibata, Daisuke Kawahara, Masashi Okamoto, Sadao Kurohashi, and Toyoaki Nishida . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1054
On Personalizing Video Portal System with Metadata Kouzou Ohara, Takehiro Ogura, and Noboru Babaguchi.. . . . . . . . . . . . . . . . . 1062
Part2: Environmental Media and Intelligent Interaction Support
Environmental Media - In the Case of Lecture Archiving System - Michihiko Minoh and Satoshi Nishiguchi . . . . . . . . . . . . . . . . . . . . . . . . . , . . . . . . 1070
Non-verbal Human Communication Using Avatars in a Virtual Space Daisaku Arita and Rin-ichiro Taniguchi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1077
XXX Table of Contents, Part I1
Adjustment of Nonverbal Conversational Signals from Embodied Agents in Dialogues Junko Itou, I<oh Kakusho, and Michihiko Minoh, . . . . . . . . . . . . . . . . . . . . . . . . 1085
Toward the Human Communication Efficiency Monitoring from Captured Audio and Video Media in Real Environments Tomasz M. Rutkowski, Susumu Seki, Yoko Yamakata, Icoh Kakusho, and Michihiko Minoh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1093
Toward a Mutual Adaptive Interface: An Interface and a User Induce and Utilize the Partner's Adaptation Takanori Komatsu, Atsushi Utsunomiya, Kentaro Suzuki, Kazuhiro Ueda, Kazuo Hiraki, and Natsuki Oka . . . . . . . . . . . . . . . . . . . . . . . . . 1101
Neural Network Models of Brain Disease, Plasticity and Rehabilitation
Neural Network Theory and Recent Neuroanatoniical Findings Indicate that Inadequate Nitric Oxide Synthase Will Cause Autism Lennart Gustafsson . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1109
From Dopamine to Psychosis: A Computational Approach Andrew Smith, Suzanna Becker, and Shitij Kapur . . . . . . . . . . . . . . . . . . . . . . . 1115
Preoccupation with a Restricted Pattern of Interest in Modelling Autistic Learning Lennart Gustafsson and Andrew P. Papliriski. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1122
The CODAM Model and Deficits of Consciousness I: CODAM J.G. Taylor . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1130
CODAM and Deficits of Consciousness 11: Schizophrenia and Neglect/Extinction J.G. Taylor . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . A Neurocomputational Model of Early Psychosis Eric Y.H. Chen . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1149
Schizophrenia Positive Symptonls Interpreted as Cognitive Hallucinations Javier Ropero Pelaez . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1156
Selfreparing Neural Networks: A Model for Recovery from Brain Damage
. . . . . . . . . . . . . . . . . . Jaap M. J. Murre, Robert Grifioen, and I. H. Robertson 1164
Dopaminergic Noise Control of Memory in Psychic Aparatus F'unctioning Luis Alfredo V. de Carvalho, Roseli S . Wedemann, Raul Donangelo, and Daniele Q. Mendes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1172
Table of Contents, Part I1 XXXI
Soft Computing Techniques for 3D Computer Vision
Contour Based Super quadric Tracking . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Jaka Krivic and Franc Solina.. 1180
2D Qualitative Recognition of SymGeon Aspects . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Fiora Pirri and Massimo Romano.. 1187
Accelerated Bundle Adjustment in Multiple-View Reconstruction Bing Liu, Maoyuan Yu, Dennis Maier, and Reinhard Manner . . . . . . . . . . . 1195
Knowledge Based E-learning
Learning Method Objects for Knowledge-Driven Environments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Ignatz Heinz and Ursula Suter-Seuling 1202
Open Web-Based Learning Environments and Knowledge Forums to Support Disabled People Ileana Hamburg, Miona Lazea, and Mihnea Marin.. . . . . . . . . . . . . . . . . . . . . . 1208
A Model Conception for Learner Profile Construction and Determination of Optimal Scenario in Intelligent Learning Systems E. Kukla, N. T. Nguyen, J. Sobecki, C. Danilowicz, and M. Lenar . . . . . . . . 1216
Adaptive Learning Scenarios in Intelligent Instructional Environment Emilia Pecheanu, Luminita Dumitriu, and Cristina Segal . . . . . . . . . . . . . . . . 1223
Content Modeling in Intelligent Instructional Environments Emilia Pecheanu, Cristina Segal, and Diana Stefanescu. . . . . . . . . . . . . . . . . . 1229
edge Engineering at the User Interface elligent Biometric Processing
Factors that Affected the Benchmarking of NAFIS: Study
a Suman.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1235
Performance Evaluation ess Detection for Various Fingerprint Sensor Modules
ang, Bongku Lee, Hakil Kim, Daecheol Shin, sung Kim. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1245
of Multimodal Biometric Transactions . . . . irhurst, F. Deravi, N. Mavity, J. George, and K. Sirlantzis.. 1254
on Measuring Image Quality
. . . . . . . . . . OOIC Joun, Hakil Kim, Yongwha Chung, and Dosung Ahn 1261
XXXII Table of Contents, Part I1
A Study of the User Interface in Biometric Verification Based on the Characteristics of Human Signature Checking
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . M.C. Fairhurst and E. Kaplani. . 1270
Advances on Knowledge Engineering
I<nowledge Model of a Therapy Administration Task Applied to an Agricultural Domain Isabel Maria del Aguila, Josk Joaquin Cafiadas, Alfonso Bosch, Samuel Tdnez, and Roque Marin . . . . . . . . . . . . . . . . . . . . . . . . 1277
Acquisition and Representation of Causal and Temporal Knowledge in Medical Domains J. Palma, B. Llamas, A. Gonzdlez, and M. Mendrguez . . . . . . . . . . . . . . . . . . 1284
Extended Models of Dynamic Selection Using Ontological Elements Application to Design and Image Analysis Problems J. Fernando Bienvenido and Isabel M. Flores-Parra . . . . . . . . . . . . . . . . . . . . . 1291
Experiences in Reusing Problem Solving Methods An Application in Constraint Programming Abraham Rodriguez, Josk Palma, and Francisca Quintana . . . . . . . . . . . . . . . 1299
Problem-Solving Analysis for the Budgeting Task in Furniture Industry J.C. Vidal, M. Lama, A . Bugarin, and S. Barro. . . . . . . . . . . . . . . . . . . . . . . . . 1307
Collecting, Analyzing and Interpreting Data for User Model Acquisition in Open Web-Based Adaptive Collaborative Environment
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Elena Gaudioso and Jesus G. Boticario.. 1314
Some Issues about the Representation and Exploitation of Imprecise Temporal Knowledge for an A1 Planner
. . . . . . . . . . Luis Castillo, Juan Ferndndez-Olivares, and Antonio Gonzdlez 1321
On Selecting and Scheduling Assembly Plans Using Constraint Programming Carmelo Del Valle, Antonio A . Mdrquez, Rafael M. Gasca,
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . and Miguel Toro 1329
Dynamic versus Static Student Models Based on Bayesian Networlts: An Empirical Study Eva Milldn, Jose' Luis Pkrez-de-la-Cruz, and Felipe Garcia. . . . . . . . . . . . . . . 1337
Knowledge Acquisition in PROSTANET - A Bayesian Network for Diagnosing Prostate Cancer Carmen Lacave and Francisco J. Diez . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1345
Table of Contents, Part I1 XXXIII
Construction of a Development Environment for GPMs Based on 00 Analysis Patterns Manuel Arias, Angeles Manjarrks, Francisco J. Diez, and Simon Pickin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1351
Using Electronic Documents for Knowledge Acquisition and Model Maintenance Martin Molina and Gemma Blasco . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1357
Design of a Validation Tool Based on Design Patterns for Intelligent Systems Eduardo Mosqueira-Rey, Juan Gabriel Ferncindez Garcia de la Rocha, and Vicente Moret-Bonillo . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1365
Knowledge Base Development D. Martinez, M. Taboada, and J. Mira . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1373
KB-Grid: Towards Building Large-Scale Knowledge System in Semantic Web Huajun Chen, Zhaohui Wu, and Jiefeng X u . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1381
First Steps towards an Ontology for Astrophysics Luis M. Sarro and Rafael Martinez. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1389
Emergence and Self-organization in Agent Systems
Cellular Automata Model Based on Multiagent Techniques Y. Hassan, E. Tazaki, and D. Yamaguchi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1396
traction of Rules by Heterogeneous;Agents omatically Defined Groups ~s :
a, Takumi Ichimura, Tetsuyuki Takahama, inori Isomichi.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1405
Data Mining for Distributed Databases with Multiagents Ayuhiko Niimi and Osamu Konishi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1412
Applying Self-organizing Agents to University Class Scheduling Eiji Nunohiro and Kenneth J. Muckin!;. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1419
gence i n Agents with Different .Internal Time Frames eth J. Mackin' and Kazuko Yamasaki . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1426
hor Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1433
Table of Contents, Part I
Keynote Lectures
Distributed Prediction and Hierarchical Knowledge Discovery by ARTMAP Neural Networks
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Gail A. Carpenter. . 1
The Brain's Cognitive Dynamics: The Link between Learning, Attention, Recognition, and Consciousness
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Stephen Grossberg.. 5
Adaptive Data Based Modelling and Estimation with Application to Real Time Vehicular Collision Avoidance
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Chris J. Harris. . 13
Creating a Smart Virtual Personality . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Nadia Magnenat- Thalmann 15
elligent Navigation on the Mobile Internet . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . rry Smyth 17
e Evolution of Evolutionary Computation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Y a o . . . . . . . . . . . . . . . . ... ..... .... 19
eneral Session Papers
owledge-Based Systems
nified Model Maintains Knowledge Base Integrity . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . n Debenham 21
Argumentation Fkameworlts Extended Generalized Annotated Logic Programs
isa Takahashi,, Yuichi Umeda, and Hajime Sawamura . . . . . . . . . . . . . . . . 28
g and Validating Reactive Systems mmonKADS Methodology
mar El-Amine Hamri, Claudia Frydman, and Lucile Torres . . . . . . . . . . . 39
: Tool Supporting Knowledge Modelling milleri, Jean-Luc Soubie, and Joseph Zalaket . . . . . . . . . . . . . . . . . . . . . . . 45
Based Planning with Numerical Knowledge h Zalaket and Guy Camilleri . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53
XXXVI Table of Contents, Part I
KAMET 11: An Extended Knowledge-Acquisition Methodology . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Osvaldo Cairo' and Julio Char Alvarez 61
Automated Knowledge Acquisition by Relevant Reasoning Based on Strong Relevant Logic
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Jingde Cheng.. 68
CONCEPTOOL: Intelligent Support to the Management of Domain Knowledge
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Ernesto Compatangelo and Helmut Meisel 81
Combining Revision Production Rules and Description Logics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Chan Le Duc and Nhan Le Thanh 89
Knowledge Support for Modeling and Simulation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Michal Sev~enko. . 99
Expert System for Simulating and Predicting Sleep and Alertness Patterns Udo fiutschel, Rainer Guttkuhn, Anneke Heitmann,
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Acacia Aguirre, and Martin Moore-Ede 104
Two Expert Diagnosis Systems for SMEs: From Database-Only Technologies to the Unavoidable Addition of A1 Techniques
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Sylvain Delisle and Jose'e St-Pierre 111
Using Conceptual Decision Model in a Case Study . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Miki Sirola.. 126
Neural Networks and Applications
Automated Knowledge Acquisition Based on Unsupervised Neural Network and Expert System Paradigms
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Nazar Elfadil and Dino Isa 134
Selective-Learning-Rate Approgch for Stoclc Market Prediction by Simple Recurrent Neural Networks
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Kazuhiro Kohara 141
A Neural-Network Technique foe! Recognition of Filaments in Solar Images
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . V. V . Zharkova and V . Schetinin.. 148
Learning Multi-class Neural-Netwbrk Models from Electroencephalograms Vitaly Schetinin, Joachim Schult, Burkhart Scheidt, and Valery Kuviakin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 155
Table of Contents, Part I XXXVII
Establishing Safety Criteria for Artificial Neural Networlts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Zeshan Kurd and Tim Kelly.. 163
Neural Chaos Scheme of Perceptual Conflicts Haruhiko Nishimura, Natsulci Nagao, and Nobuyuki Matsui . . . . . . . . . . . . . . . 170
Learning of SAINNs from Covariance Function: Historical Learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Paolo Crippa and Claudio Turchetti 177
Use of the Kolmogorov's Superposition Theorem and Cubic Splines for Efficient Neural-Network Modeling
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Boris Igelnik 184
The Influence of Prior Knowledge and Related Experience on Generalisation Performance in Connectionist Networks F.M. Richardson, N. Davey, L. Peters, D.J. Done, and S.H. Anthony . . . . 191
Urinary Bladder Tumor Grade Diagnosis Using On-line Trained Neural Networks D.K. Tasoulis, P. Spyridonos, N.G. Pavlidis, D. Cavouras, P. Ravazoula, G. Nikiforidis, and M.N. Vrahatis.. . . . . . . . . . . . . . . . . . . . . . . . . 199
Invariants and Fuzzy Logic . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Gemano Resconi and Chiara Ratti.. 207
Newsvendor Problems Based on Possibility Theory . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Peijun Guo 213
ncertainty Management in Rule Based Systems Application Maneuvers Recognition
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Benouhiba and J.M. Nigro. 220
Coefficients and Fuzzy Preference Relations 1s of Decision Malting el, EJim Galperin, Reinaldo Palhares, Claudio Campos,
Marina Silva.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 229
ing Fuzzy Rules for a Traffic Information System exandre G. Evsukoff and Nelson F.F. Ebecken . . . . . . . . . . . . . . . . . . . . . . . . . . 237
ibilistic Hierarchical Fuzzy Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . o Salgado 244
zzy Knowledge Based Guidance in the Homing Missiles . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . stafa Resa Becan and Ahmet Kuzucu 251
XXXVIII Table of Contents, Part I
Evolutionary Computation and Applications
Evolutionary Design of Rule Changing Cellular Automata . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Hitoshi Kanoh and Yun W u 258
Dynamic Control of the Browsing-Exploitation Ratio for Iterative Optimisations L. Baumes, P. Jouve, D. Farrusseng, M. Lengliz, N . Nicoloyannis,
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . and C. Mirodatos.. 265
Intelligent Motion Generator for Mobile Robot by Automatic Constructed Action Knowledge-Base Using GA Hirokazu Watabe, Chikara Hirooka, and Tsukasa Kawaoka.. . . . . . . . . . . . . . . 271
Population-Based Approach to Multiprocessor Task Scheduling in Multistage Hybrid Flowshops Joanna Jqdrzejowicz and Piotr J~drzejowicz . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 279
A New Paradigm of Optimisation by Using Artificial Immune Reactions M. Koster, A . Grauel, G. Klene, and H. Convey. . . . . . . . . . . . . . . . . . . . . . . . . . 287
Multi-objective Genetic Programming Optimization of Decision Trees for Classifying Medical Data Ernest Muthomi Mugambi and Andrew Hunter . . . . . . . . . . . . . . . . . . . . . . . . . . . 293
Machine Learning and Applications
A Study of the Compression Method for a Reference Character Dictionary Used for On-line Character Recognition Jungpil Shin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 300
Mercer Kernels and 1-Cohomology of Certain Semi-simple Lie Groups Bernd- Jurgen Fallcowski . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 310
On-line Profit Sharing Works Efficiently Tohgoroh Matsui, Nobuhiro Inuzuka, and Hirohisa Seki . . . . . . . . . . . . . . . . . . . 317
Fast Feature Ranking Algorithm Roberto Ruiz, Jose' C, Riquelme, and Jeslis S . Aguilar-Ruiz . . . . . . . . . . . . . . . 325
Visual Clustering with Artificial Ants Colonies Nicolas Labroche, Nicolas Monmarche', and Gilles Venturini . . . . . . . . . . . . . . 332
Maximizing Benefit of Classifications Using Feature Intervals Nazlz jkizler and H. Altay Giivenir . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 339
Parameter Estimation for Bayesian Classification of M~l t i s~ec t r a l Data Refaat M Mohamed and Aly A Farag.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 346
Table of Contents, Part I XXXIX
Goal Programming Approaches to Support Vector Machines Hirotalca Nakayama, Yeboon Yun, Talceshi Asada, and Min Yoon . . . . . . . . . 356
Asymmetric Triangular Fuzzy Sets for Classification Models J.F. Baldwin and Sachin B. Karale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 364
Machine Learning to Detect Intrusion Strategies Stewe Moyle and John Heasman . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 371
On the Benchmarking of Multiobjective Optimization Algorithm Mario Koppen.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 379
Multicategory Incremental Proximal Support Vector Classifiers Amund Tweit and Magnus Lie Hetland . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 386
c Consistency for Dynamic CSPs lek Mouhoub . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 393
ermination of Decision Boundaries for Online Signature Verification ahiro Tanaka, Yumi Ishino, Hironori Shimada, Takashi Inoue, Andrzej Bargiela . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 401
he Accuracy of Rotation Invariant Wavelet-Based Moments Applied ecognize Traditional Thai Musical Instruments
tisalc Rodtook and Stanislaw Makhanow.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 408
ti-agent Systems
lti-agent System for Knowledge Management ftware Maintenance ra Vizcaino, Jesds Favela, and Mario Piattini . . . . . . . . . . . . . . . . . . . . . . . 415
A: A Distributed Double Guided Genetic Algorithm x-CSPs Bouamama, Boutheina Jliji, and Khaled Ghddira.. . . . . . . . . . . . . . . . . . 422
ing Intelligent Agents for Organisational Memories . . . . . . . . . . . . . . . . . . . . . . . . . E. Arenas and Gareth Bar r ia . . 430
dy on the Multi-agent Appr rge Complex Systems glory Tianfield . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 438
-layered Distributed Agent Ontology for Soft Computing Systems Khosla . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 445
ode1 for Personality and Emotion Simulation . . . . . . . Egges, Sumedha Kshirsagar, and Nadia Magnenat-Thalmann 453
XL Table of Contents, Part I
Data Mining & Knowledge Discovery
Using Loose and Tight Bounds to Mine Frequent Itemsets Lei Jia, Jun Yao, and Renqing Pei . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 462
Mining Association Rules with Frequent Closed Itemsets Lattice Lei Jia, Jun Yao, and Renqing Pei . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 469
Mining Generalized Closed Frequent Itemsets of Generalized Association Rules Kritsada Sriphaew and Thanaruk Theeramunkong . . . . . . . . . . . . . . . . . . . . . . . . 476
Qualitative Point Sequential Patterns , Aomar Osmani . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 485
Visualization and Evaluation Support of Knowledge Discovery through the Predictive Model Markup Language
. . . . . . . . . . . . . . . . . . . . . Dietrich Wettschereck, Alipio Jorge, and Steve Moyle 493
Detecting Patterns of Fraudulent Behavior in Forensic Accounting Boris Kovalerchuk and Evgenii Vityaev. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 502
SPIN!-An Enterprise Architecture for Spatial Data Mining Michael May and Alexandr Savinov.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 510
The Role of Discretization Parameters in Sequence Rule Evolution Magnus Lie Hetland and Pi1 Setrom . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 518
Feature Extraction for Classification in Knowledge Discovery Systems Mykola Pechenizkiy, Seppo Puuronen, and Alexey Tsymbal . . . . . . . . . . . . . . . . 526
Adaptive Per-application Load Balancing with Neuron-Fuzzy to Support Quality of Service for Voice over IP in the Internet Sanon Chimmanee, Komwut Wipusitwarakun, and Suwan Runggeratigul . . 533
Hybrid Intelligent Systems
Hybrid Intelligent Production Simulator by GA and Its Individual Expression Hidehiko Yamamoto and Etsuo Marui . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 542
On the Design of an Artificial Life Simulator Dara Curran and Colm O'Riordan.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 549
3-Dimensional Object Recognition by Evolutional RBF Networlr Hideki Matsuda, Yasue Mitsukura, Minoru Fukumi, and Norio Akamatsu . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 556
Soft Computing-Based Design and Control for Vehicle Health Monitoring Preeti Bajaj and Avinash Keskar . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 563
Table of Contents, Part I XLI
Signal and Image Processing
An Adaptive Novelty Detection Approach to Low Level Analysis of Images Corrupted by Mixed Noise Alexander N. Dolia, Martin Lages, and Ata Kaban.. . . . . . . . . . . . . . . . . . . . . . . 570
The Image Recognition System by Using the FA and SNN Seiji Ito, Yasue Mitsukura, Minoru Fukumi, Norio Akamatsu,
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . and Sigeru Omatu.. 578
nse Plate Detection Using Hereditary Threshold Determine Method i Yoshimori, Yasue Mitsukura, Minoru Fukumi,
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Norio Akamatsu 585
ognition from EMG Signals by an Evolutional Method Non-negative Matrix Factorization ki Yazama, Yasue Mitsukura, Minom Fukumi, and Norio Akamatsu . . 594
ture Extraction Method for Personal Identification System ri Takimoto, Yasue Mitsukura, Minoru Fukumi,
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . rio Akamatsu 601
ature Extraction of the EEG Using the Factor Analysis eural Networlcs
-%chi Ito, Yasue Mitsukura, Minom Fukumi, and Norio Akamatsu . . . . 609
eural Network Approach to Color Image Classification ayuki Shinmoto, Yasue Mitsukura, Minoru Fukumi, Norio Akamatsu . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 617
nition of EMG Signal Patterns by Neural Networks tsumura, Yasue Mitsukura, Minoru Fukumi, Norio Akamatsu,
miaki Takeda.. . . . . . . . . . . . . . . .... ... .... .. . . . . . . . . . . . . . . . . . . . . . 623
ile Recognition Using Neural Networks and Simple PCA Nakano, Yasue Mitsukura, Minoru Fukumi, Norio Akamatsu,
miko Yasukata.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 631
ion of Sea Ice Movement Using Locally Parallel Matching Model Xiangwei, Chen Feishi, Liu Zhiyuan, and Zong Shaoxiang . . . . . . . . . . 638
ation of a Combined Wavelet and ined Principal Component Analysis Classification System
Diagnostic Problem . . . . . . . . . . . . . . . . . . . g Yu, Dejun Gong, Siren Li, and Yongping Xu 646
m the Expert: Improving Boundary Definitions
wford-Hines . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 653
XLII Table of Contents, Part I
Low Complexity Functions for Stationary Independent Component Mixtures
. . . . . . . . . . . . . . . . . . . . . . . . . . . K. Chinnasarn, C. Lursinsap, and V , Palade.. 660
Intelligent Industr ial Applications
Knowledge-Based Automatic Components Placement for Single-Layer PCB Layout
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Distan Pannkrec.. 669
Knowledge-Based Hydraulic Model Calibration '
Jean-Philippe Vidal, Sabine Moisan, and Jean-Baptiste Faure . . . . . . . . . . . . . 676
Using Artificial Neural Networlcs for Combustion Interferometry . . . . . . . . . . . . . . . . . . . . Victor Abrulcov, Vitaly Schetinin, and Pave1 Deltsov.. 684
An Operating and Diagnostic Knowledge-Based System for Wire EDM . . . . . . . . . . . . . . . . . . . . . . . . . . . Samy Ebeid, Raouf Fahmy, and Sameh Habib.. 691
The Application of Fuzzy Reasoning System in Monitoring EDM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Xiao Zhiyun and Ling Shih-Fu 699
Knowledge Representation for Structure and Function of Electronic Circuits
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . TaLushi Tanaka 707
A Web-Based System for Transformer Design . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . J.G. Breslin and W.G. Hurley 715
A Fuzzy Control System for a Small Gasoline Engine . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . S.H. Lee, R.J. Howlett, and S.D. Walters.. 722
Computat ional Intelligence for Fault Diagnosis
Faults Diagnosis through Genetic Matching Pursuit . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Dan Stefanoiu and Florin Ionescu 733
A Fuzzy Classification Solution for Fault Diagnosis of Valve Actuators . . . . . . . . . . . . . . . . . . . . . . . . . . C.D. BocGnialG, J. Sa da Costa, and R. Louro.. 741
Deep and Shallow Knowledge in Fault Diagnosis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Viorel Ariton.. 748
Table of Contents, Part I XLIII
atural Language Processing
arning Translation Templates for Closely Related Languages . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . emal Altintas and Halil Altay Guvenir 756
lementation of an Arabic Morphological Analyzer in Constraint Logic Programming Framework
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . mza Zidoum 763
'ent Automatic Correction of Misspelled Arabic Words Based ontextual Information
. . . . . . . . . . . . . . . . . raz Ben Othmane Zribi and Mohammed Ben Ahmed.. 770
Knowledge-Belief System and Its Application
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . o Matsumoto and Akifumi Tokosumi.. 778
ledge-Based Question Answering Rinaldi, James Dowdall, Michael Hess, Diego Molld,
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Schwitter, and Kaarel Kaljurand.. 785
ledge-Based System Method for the Unitarization aningful Augmentation in Horizontal Transliteration of Hanman
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . lory Tianfield 793
pressive Efficient Representation: mg a Gap between NLP and KR
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2. Sukkarieh.. 800
Mining & Information Retrieval
cting Word Clusters to Represent Concepts pplication to Web Searching
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Khare 816
work for Integrating Deep low Semantic Structures in Text Mining
1 Collier, Koichi Takeuchi, Ai Kawazoe, Tony Mullen, Tuangthong Wattarujeekrit . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 824
ethods for Knowledge Discovery from Multilingual Text a Chau and Chung-Hsing Yeh.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 835
Automatic Extraction of Keywords from Abstracts Yaaleov HaCohen-Kerner . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 843
length Normalization for Centroid-based Text Categorization h Lertnattee and Thanaruk Theeramunkong . . . . . . . . . . . . . . . . . . . . . . . 850
XLIV Table of Contents, Part I
Recommendation System Based on the Discovery of Meaningful Categorical Clusters
. . . . . . . . . . . . . . . . . . . Nicolas Durand, Luigi Lancieri, and Bruno Crdmilleux 857
A Formal Framework for Combining Evidence in an Information Retrieval Domain
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Josephine Grif i th and Colm O'Riordan.. 864
Managing Articles Sent to the Conference Organizer . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Yousef Abuzir 871
Information Retrieval Using Deep Natural Language Processing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Rossitza Setchi, Qiao Tang, and Lixin Cheng 879
Intelligent Tutoring Systems
Ontology of Domain Modeling in Web Based Adaptive Learning System
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pinde Chen and Kedong L i . . 886
Individualizing a Cognitive Model of Students' Memory in Intelligent Tutoring Systems
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Maria Virvou and Konstantinos Manos. . 893
An Ontology-Based Approach to Intelligent Instructional Design Support
. . . . . . . . . . . . Helmut Meisel, Ernesto Compatangelo, and Andreas Horhrter 898
Javy: Virtual Environment for Case-Based Teaching of Java Virtual Machine Pedro Pablo Gdmez-Martin, Marco Antonio Gdmez-Martin,
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . and Pedro A . Gonzdlez- Calero 906
Artificial Intelligence and the Internet
Self-organization Leads to Hierarchical Modularity in an Internet Community
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Jennifer Hallinan. 914
Rule-Driven Mobile Intelligent Agents for Real-Time Configuration of IP Networlrs
........................ K u n Yang, Alex Galis, X in Guo, and Dayou L i u . . 921
Neighborhood Matchmaker Method: A Decentralized Optimization Algorithm for Personal Human Network Masahiro Hamasaki and Hideaki Takeda . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 929
Table of Contents, Part I XLV
Design and Implementation of an Automatic Installation System for Application Program in PDA Seungwon Na and Seman O h . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 936
Combination of a Cognitive Theory with the Multi-attribute Utility Theory
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Katerina Kabassi and Maria Virvou. . 944
Intelligent Web Applications
Using Self Organizing Feature Maps to Acquire Knowledge about Visitor Behavior in a Web Site Juan D. Vela'squez, Hiroshi Yasuda, Terumasa Aoki, Richard Weber,
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . and Eduardo Vera. . 951
amework for the Development of Personalized Agents o Abbattista, Graziano Catucci, Marco Degemmis, Pasquale Lops,
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . vanni Semeraro, and Fabio Zambetta.. 959
Topic Cascades: An Interactive Interface for Exploration of Clustered Web Search Results Based on the SVG Standard M. Lux, M. Granitzer, V. Sabol, W . Kienreich, and J. Beclcer . . . . . . . . . . . . 967
ctive Knowledge Mining for Intelligent Web Page Management shi Ishikawa, Manabu Ohta, Shohei Yokoyama, Takuya Watanabe,
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Iiaoru Iiatayama 975
se-Based Reasoning
-Based Reasoning for Time Courses Prognosis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . er Schmidt and Lothar Gierl 984
Adaptation Problems in Therapeutic Case-Based Reasoning Systems Rainer Schmidt, Olga Vorobieva, and Lothar Gierl.. . . . . . . . . . . . . . . . . . . . . . . 992
nowledge Management and Quality Model for R&D Organizations llermo Rodriguex- Ortiz . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1000
wledge Management & Information Systems
wledge Management Systems Development: A Roadmap r Andrade, Juan Ares, Rafael Garcia, Santiago Rodn'guez,
rks Silva, and Sonia Sua'rez . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1008
xtensible Environment for Expert System Development el Pop and Viorel Negrm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1016
XLVI Table of Contents, Part I
An Innovative Approach for Managing Competence: An Operational Knowledge Management Framework Giulio Valente and Alessandro Riga110 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1023
A Synergy of Modelling for Constraint Problems Gerrit Renker, Hatem Ahriz, and Inks Arana. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1030
Object-Oriented Design of EGovernment System: A Case Study Jiang Tian and Huaglory Tianfield.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1039
Posters
A Practical Study of Some Virtual Sensor Methods as Part of Data Fusion Jouni Muranen, Riitta Penttinen, Ari J Joki, and Jouko Saikkonen . . . . . . 1046
A Mamdaili Model to Predict the Weighted Joint Density Hakan A . Nefeslioglu, Candan Gokceoglu, and Harun Sonmez . . . . . . . . . . . . 1052
Mining Spatial Rules by Finding Empty Intervals in Data Alexandr Savinov . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1058
The Application of Virtual Reality to the Understanding and Treatment of Schizophrenia Jennifer Tichon and Jasmine Banks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1064
Representation of Algorithmic Knowledge in Medical Information Systems Yuriy Prokopchuk and Vladimir Kostra . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1069
A Case-Based Reasoning Approach to Business Failure Prediction Angela Y. N. Y ip and Hepu Deng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1075
A Metaheuristic Approach to Fuzzy Project Scheduling Hongqi Pan and Chung-Hsing Y e h . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1081
Invited Sessions Papers
Soft Computing Techniques for Financial Market
A Note on the Sensitivity to Parameters in the Convergence of Self-organizing Maps Marcello Cattaneo Adorno and Marina Resta . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1088
Table of Contents, Part I XLVII
Utilization of A1 & GAS to Improve the Traditional Technical Analysis in the Financial Markets Norio Baba, Yaai Wang, Tomoko Kawachi, Lina Xu, and Zhenglong Deng.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1095
the Predictability of High-Frequency Financial Time Series ko Tanaka- Yamawaki . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1100
remental Learning and Forgetting in RBF Networlts and SVMs h Applications to Financial Problems
taka Nakayama and Atsushi Hattori.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1109
ural Networks and Genetic Algorithms sed Intelligent Systems (I)
nded Neural Networks in System Identification nobu Yamawaki and Lakhmi Jain . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1116
Learning Algorithm e Hierarchical Structure Learning Automata Operating General Nonstationary Multiteacher Environment Baba and Yoshio Mogami . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1122
Estimation System Using the Neural Network e Mitsukura, Yasue Mitsukura, Minoru Fukumi,
Sigeru Omatu . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1129
ruction of Facial Sltin Color in Color Images en Karungaru, Minoru Fukumi, and Norio Akamatsu . . . . . . . . . . . . . . 1135
haped Control System by Using the SPCA . . . . . shimori, Yasue Mitsukura, Shigeru Omatsu, and Kohji Kita 1142
Networks and Genetic Algorithms ntelligent Systems (11)
ent Learning Using RBF Networks ry Mechanism
zawa and Naoto Shiraga.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1149
tification Method Using the Face Shape Takimoto, Yasue Mitsukura, Norio Akamatsu, Khosla. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1157
f Moving Object Using Deformable Template kashi, Minoru Fukurni, and Norio Akamatsu . . . . . . . . . . . . . . . . . . . 1162
XLVIII Table of Contents, Part I
Thai Banltnote Recognition Using Neural Network and Continues Learning by DSP Unit Fumiaki Takeda, Lalita Sakoobunthu, and Hironobu Satou . . . . . . . . . . . . . . . 1169
Color-Identification System Using the Sandglass-Type Neural Networks Shin-ichi Ito, Kensuke Yano, Yasue Mitsukura, Norio Alcamatsu, and Rajiv Khosla.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1178
Artificial Intelligence Applications to Information Security
Secure Matchmalting of Fuzzy Criteria between Agents Javier Carbd, Jose M. Molina, and Jorge Ddvila.. . . . . . . . . . . . . . . . . . . . . . . . 1185
Finding Efficient Nonlinear Functions by Means of Genetic Programming Julio Cdsar Herndndez Castro, Pedro Isasi Vifiuela, and Cristdbal Luque del Arco-Calderdn . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1192
Keystream Generator Analysis in Terms of Cellular Automata Amparo Fhter-Sabater and Dolores de la Guia-Martinez . . . . . . . . . . . . . . . . 1199
Graphic Cryptography with Pseudorandom Bit Generators and Cellular Automata Gonzalo Alvarez Marafidn, Luis Herndndez Encinas, Ascensidn Herndndez Encinas, Angel Martin del Rey, and Gerardo Rodm'guez Sdnchez . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1207
Agent-Oriented Public Key Infrastructure for Multi-agent E-service Yuh- Jong Hu and Chao- Wei Tang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1215
SOID: An Ontology for Agent-Aided Intrusion Detection Prancisco J. Martin and Enric Plaza . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1222
Pseudorandom Number Generator - The Self Programmable Cellular Automata Sheng- Uei Guan and Syn Kiat Tan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1230
Soft Computing for Knowledge Extraction
Exclusion/Inclusion Fuzzy Classification Network Andrzej Bargiela, Witold Pedrycz, and Masahiro Tanaka . . . . . . . . . . . . . . . . 1236
Discovering Prediction Rules by a Neuro-fuzzy Modeling Frameworlt Giovanna Castellano, Ciro Castiello, Anna Maria Fanelli, and Corrado Mencar . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1242
SAMIR: Your 3D Virtual Bookseller Fabio Zambetta, Graziano Catucci, Fabio Abbattista, and Giovanni Semeraro . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1249
Table of Contents, Part I XLIX
Intelligent Data Processing in Chemical Process Systems and Plants
tion and Diagnosis of Oscillations in Process Plants . . . . . . . . . . . . . . . . . Matsuo, Hideki Sasaoka, and Yoshiyuki Yamashita 1258
-Net Based Reasoning Procedure for Fault Identification ential Operations
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ng Wang and Chuei- Tin Chang 1265
ing Procedures for Material and Energy Conversions
hiyuki Yamashita, and Kenji Hoshi . . . . . . . . . . . . . . . . . . 1273
el Based Design Rationale Supporting Environment
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . o Fuchino and Yukiyasu Shimada 1281
Optimal Profit Distribution Problem Multi-Echelon Supply Chain Network: zzy Optimization Approach g-Liang Chen, Bin- Wei Wang, and Wen-Cheng Lee . . . . . . . . . . . . . . . . 1289
Experimental Study of Model Predictive Control on Artificial Neural Networks ng Chu, Po-Feng Tsai, Wen- Yen Tsai, Shi-Shang Jang, Shun-Hill Wong, Shyan-Shu Shieh, Pin-Ho Lin,
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . i-Jer Jiang 1296
Recognition System of Electrical Components in Scrubber Infrared Images
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . o-Chao Lin and Chia-Shun Lai 1303
ear Process Modeling Based on Just-in-Time Learning
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Cheng and Min-Sen Chiu.. 1311
igent Signal Processing
Vector Machines for Improved Voiceband Classification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . R. Alty 1319
tive Prediction of Mobile Radio Channels Utilizing ered Random Walk Model for the Coefficients rn Ekman.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1326
tude Modulated Sinusoidal Models dio Modeling and Coding Gr~sb@ll Christensen, S@ren Vang Andersen, ren Holdt Jensen . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1334
L Table of Contents, Part I
A Fast Converging Sequential Blind Source Separation Algorithm for Cyclostationary Sources M. G. Jafari, D.P. Mandic, and J.A. Chambers . . . . . . . . . . . . . . . . . . . . . . . . . . 1343
Computationally Efficient Doubletallc Detection Using Estimated Loudspeaker Impulse Responses Per Ahgren . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1350
Texture Segmentation Using Semi-supervised Support Vector Machine S. Sanei.. . . . . . . . . . . . . .. .. ... ... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1357
A Non-parametric Test for Detecting the Complex-Valued Nature of Time Series Temujjin Gautama, Danilo P. Mandic, and Marc M. Van Hulle . . . . . . . . . . 1364
Ontology and Multi-agent Systems Design
Domain Ontology Analysis in Agent-Oriented Requirements Engineering Paolo Donzelli and Paolo Bresciani . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1372
A Framework for ACL Message nanslation for Information Agents Zhan Cui, Yang Li, and John Shepherdson . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1380
An Ontology for Modelling Security: The Tropos Approach Haralambos Mouratidis, Paolo Giorgini, and Gordon Manson.. . . . . . . . . . . 1387
Towards a Pragmatic Use of Ontologies in Multi-agent Platforms Philippe Mathieu, Jean-Christophe Routier, and Yann Secq . . . . . . . . . . . . . . 1395
Ontological Foundations of Natural Language Communication in Multiagent Systems Luc Schneider and Jim Cunningham . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1403
Ontology Management for Agent Development . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Kwun-talc Ng, Qin Lu, and Yu Le 1411
A Multiagent, Distributed Approach to Service Robotics Maurizio Miozzo, Antonio Sgorbissa, and Renato Zaccaria. . . . . . . . . . . . . . . 1419
PCA and ICA Based Signal and Image Processing
PCA Based Digital Watermarking Thai D Hien, Yen- Wei Chen, and Zensho Nalcao . . . . . . . . . . . . . . . . . . . . . . . . 1427
Image Retrieval Based on Independent Components of Color Histograms Xiang- Yan Zeng, Yen- Wei Chen, Zensho Nalcao, Jian Cheng, and Hanqing Lu . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1435
Table of Contents, Part I
Face Recognition Using Overcomplete Independent Component Analysis Jian Cheng, Hanqing Lu, Yen- Wei Chen, and Xiang- Yan Zeng . . . . . . . . . . 1443
An ICA-Based Method for Poisson Noise Reduction Xian-Hua Han, Yen- Wei Chen, and Zensho Nakao . . . . . . . . . . . . . . . . . . . . . . 1449
Recursive Approach for Real-Time Blind Source Separation of Acoustic Signals
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Shuxue Ding and Jie Huang 1455
Author Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1463