handbook on computational intelligence - … · the handbook of computational intelligence prompts...

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Preferred Publisher of Leading Thinkers Connecting Great Minds edited by Plamen Parvanov Angelov Lancaster University, UK Order your copy at http://www.worldscientific.com/worldscibooks/10.1142/9548 W ith the Internet, the proliferation of Big Data, and autonomous systems, mankind has entered into an era of ‘digital obesity’. In this century, computational intelligence, such as thinking machines, have been brought forth to process complex human problems in a wide scope of areas — from social sciences, economics and biology, medicine and social networks, to cyber security. The Handbook of Computational Intelligence prompts the readers to look at these problems from a non-traditional angle. It takes a step by step approach, supported by case studies, to explore the issues that have arisen in the process. The Handbook covers many classic paradigms, as well as recent achievements and future promising developments to solve some of these very complex problems. This book is a “one-stop-shop” for beginners, as well as an inspirational source for more advanced researchers. It is a useful resource for lecturers and learners alike. Readership: Beginners and experts in computational intelligence. Volume 1: Part I: Fuzzy Logic: Fundamentals of Fuzzy Set Theory (Fernando Gomide); Granular Computing (Andrzej Bargiela and Witold Pedrycz); Evolving Fuzzy Systems — Fundamentals, Reliability, Interpretability, Useability, Applications (Edwin Lughofer); Modeling Fuzzy Rule-Based Systems (Rashmi Dutta Baruah and Diganta Baruah); Fuzzy Classifiers (Hamid Bouchachia); Fuzzy Model-Based Control — Predictive and Adaptive Approach (Igor Škrjanc and Saso Blažič); Fuzzy Fault Detection and Diagnosis (Bruno Sielly Jales Costa); Part II: Artificial Neural Networks and Learning Systems: The ANN and Learning Systems in Brains and Machines (Leonid Perlovsky); Introduction to Cognitive Systems (Péter Érdi and Mihály Bányai); A New View on Economics with Recurrent Neural Networks (Hans- Georg Zimmermann, Ralph Grothmann and Christoph Tietz); Evolving Connectionist Systems for Adaptive Learning and Pattern Recognition: From Neuro-Fuzzy-, to Spiking- and Neurogenetic (Nikola Kasabov); Reinforcement Learning with Applications in Automation Decision and Feedback Control (Kyriakos G Vamvoudakis, Frank L Lewis and Draguna Vrabie); Kernel Models and Support Vector Machines (Denis Kolev, Mikhail Suvorov and Dmitry Kangin). Volume 2: Part III: Evolutionary Computation: History and Philosophy of Evolutionary Computation (Carlos A Coello Coello, Carlos Segura and Gara Miranda); A Survey of Recent Works in Artificial Immune Systems (Guilherme Costa Silva and Dipankar Dasgupta); Swarm Intelligence: An Introduction, History and Applications (Fevrier Valdez); Memetic Algorithms (Qiangfu Zhao, Yong Liu and Yan Pei); Part IV: Hybrid Systems: Multi-objective Evolutionary Design of Fuzzy Rule-based Systems (Michela Antonelli, Pietro Ducange and Francesco Marcelloni); Bio-Inspired Optimization of Interval Type-2 Fuzzy Controllers (Oscar Castillo); Nature-Inspired Optimization of Fuzzy Controllers and Fuzzy Models (Radu-Emil Precup and Radu- Codruţ David); Genetic Optimization of Modular Neural Networks for Pattern Recognition with a Granular Approach (Patricia Melin); Hybrid Evolutionary-, Constructive- and Evolving Fuzzy Neural Networks (Michael J Watts and Nikola K Kasabov); Part V: Applications: Applications of CI to Decision Making: Modelling Human Reasoning/Agreement (Simon Miller, Christian Wagner and Jonathan Garibaldi); Applications of CI to Process Industry (J M Hernández); Applications of Computational Intelligence to Robotics and Autonomous Systems (Adham Atyabi and Samia Nefti-Meziani); Selected Automotive Applications of Computational Intelligence (Mahmoud Abou-Nasr, Fazal Syed and Dimitar Filev). Contents 1000pp Nov 2015 978-981-4675-00-0 US$395 £261 978-981-4675-01-7(ebook) US$514 £339 HANDBOOK ON COMPUTATIONAL INTELLIGENCE In 2 Volumes

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Page 1: HANDBOOK ON COMPUTATIONAL INTELLIGENCE - … · The Handbook of Computational Intelligence prompts the readers to look at these problems from a non-traditional angle. It takes a step

P r e f e r r e d P u b l i s h e r o f L e a d i n g T h i n k e r s

C o n n e c t i n g G r e a t M i n d s

edited by Plamen Parvanov Angelov Lancaster University, UK

Order your copy at http://www.worldscientific.com/worldscibooks/10.1142/9548

With the Internet, the proliferation of Big Data, and autonomous systems, mankind has entered into an era of ‘digital obesity’. In this century, computational intelligence, such as thinking

machines, have been brought forth to process complex human problems in a wide scope of areas — from social sciences, economics and biology, medicine and social networks, to cyber security.

The Handbook of Computational Intelligence prompts the readers to look at these problems from a non-traditional angle. It takes a step by step approach, supported by case studies, to explore the issues that have arisen in the process. The Handbook covers many classic paradigms, as well as recent achievements and future promising developments to solve some of these very complex problems.

This book is a “one-stop-shop” for beginners, as well as an inspirational source for more advanced researchers. It is a useful resource for lecturers and learners alike.

Readership: Beginners and experts in computational intelligence.

Volume 1: Part I: Fuzzy Logic: Fundamentals of Fuzzy Set Theory (Fernando Gomide); Granular Computing (Andrzej Bargiela and Witold Pedrycz); Evolving Fuzzy Systems — Fundamentals, Reliability, Interpretability, Useability, Applications (Edwin Lughofer); Modeling Fuzzy Rule-Based Systems (Rashmi Dutta Baruah and Diganta Baruah); Fuzzy Classifiers (Hamid Bouchachia); Fuzzy Model-Based Control — Predictive and Adaptive Approach (Igor Škrjanc and Saso Blažič); Fuzzy Fault Detection and Diagnosis (Bruno Sielly Jales Costa);

Part II: Artificial Neural Networks and Learning Systems: The ANN and Learning Systems in Brains and Machines (Leonid Perlovsky); Introduction to Cognitive Systems (Péter Érdi and Mihály Bányai); A New View on Economics with Recurrent Neural Networks (Hans-Georg Zimmermann, Ralph Grothmann and Christoph Tietz); Evolving Connectionist Systems for Adaptive Learning and Pattern Recognition: From Neuro-Fuzzy-, to Spiking- and Neurogenetic (Nikola Kasabov); Reinforcement Learning with Applications in Automation Decision and Feedback Control (Kyriakos G Vamvoudakis, Frank L Lewis and Draguna Vrabie); Kernel Models and Support Vector Machines (Denis Kolev, Mikhail Suvorov and Dmitry Kangin).

Volume 2: Part III: Evolutionary Computation: History and Philosophy of Evolutionary Computation (Carlos A Coello Coello, Carlos Segura and Gara Miranda); A Survey of Recent Works in Artificial Immune Systems (Guilherme Costa Silva and Dipankar Dasgupta); Swarm Intelligence: An Introduction, History and Applications (Fevrier Valdez); Memetic Algorithms (Qiangfu Zhao, Yong Liu and Yan Pei);

Part IV: Hybrid Systems: Multi-objective Evolutionary Design of Fuzzy Rule-based Systems (Michela Antonelli, Pietro Ducange and Francesco Marcelloni); Bio-Inspired Optimization of Interval Type-2 Fuzzy Controllers (Oscar Castillo); Nature-Inspired Optimization of Fuzzy Controllers and Fuzzy Models (Radu-Emil Precup and Radu-Codruţ David); Genetic Optimization of Modular Neural Networks for Pattern Recognition with a Granular Approach (Patricia Melin); Hybrid Evolutionary-, Constructive- and Evolving Fuzzy Neural Networks (Michael J Watts and Nikola K Kasabov);

Part V: Applications: Applications of CI to Decision Making: Modelling Human Reasoning/Agreement (Simon Miller, Christian Wagner and Jonathan Garibaldi); Applications of CI to Process Industry (J M Hernández); Applications of Computational Intelligence to Robotics and Autonomous Systems (Adham Atyabi and Samia Nefti-Meziani); Selected Automotive Applications of Computational Intelligence (Mahmoud Abou-Nasr, Fazal Syed and Dimitar Filev).

Contents

1000pp Nov 2015978-981-4675-00-0 US$395 £261978-981-4675-01-7(ebook) US$514 £339

HANDBOOK ON COMPUTATIONAL INTELLIGENCEIn 2 Volumes

Page 2: HANDBOOK ON COMPUTATIONAL INTELLIGENCE - … · The Handbook of Computational Intelligence prompts the readers to look at these problems from a non-traditional angle. It takes a step

WORLD SCIENTIFIC ~ IMPERIAL COLLEGE PRESSwww.worldscientific.com 2

Causality, Correlation and Artificial Intelligence for Rational Decision Making by Tshilidzi Marwala (University of Johannesburg, South Africa)

In this book, four main themes are considered and these are causality, correlation, artificial intelligence and decision making. A correlation machine is defined and built using multi-layer perceptron network, principal component analysis, Gaussian Mixture models, genetic algorithms, expectation maximization technique, simulated annealing and particle swarm optimization. Furthermore, a causal machine is defined and built using multi-layer perceptron, radial basis function, Bayesian statistics and Hybrid Monte Carlo methods. Both these machines are used to build a Granger non-linear causality model. In addition, the Neyman–Rubin, Pearl and Granger causal models are studied and are unified. The automatic relevance determination is also applied to extend Granger causality framework to the non-linear domain. The concept of rational decision making is studied, and the theory of flexibly-bounded rationality is used to extend the theory of bounded rationality within the principle of the indivisibility of rationality. The theory of the marginalization of irrationality for decision making is also introduced to deal with satisficing within irrational conditions. The methods proposed are applied in biomedical engineering, condition monitoring and for modelling interstate conflict.

Readership: Graduate students, researchers and professionals in the field of artificial intelligence.

208pp Jan 2015978-981-4630-86-3 US$88 £58978-981-4630-87-0(ebook) US$114 £75

Impossible MindMy Neurons, My Consciousness (Revised Edition) by Igor Aleksander (Imperial College London, UK)

“… his book provides a popular account of the problem of consciousness. It is a personal view, from the perspective of a plain-speaking and clear-sighted engineer, articulated with all the optimism and confidence that engineers need to pursue the audacious goal of designing intelligent and conscious robots … it is more of an ‘ideas’ book, and was fun to read. It should be an adventure and an inspiration for the human, if not yet the robotic, mind.” Nature

Contents: Who’s Afraid of Magnus?; Neurons and Thought; Automata and Brains; The Inner Eye of Consciousness; Who Am I?; Beginnings and Words; Give me a Teddy ...; Qualia, Instinct and Emotion; What’s the Use of Artificial Minds?; Magnus 2030 AD: An Interview.

Readership: General. For members of the public with an interest in understanding human intelligence and artificial intelligence; and cross disciplinary learning across computing theory, philosophy and neuroscience (undergraduate through to research level).

452pp Dec 2014978-1-78326-568-8 US$98 £65978-1-78326-569-5(pbk) US$45 £30

Latest Advances in Inductive Logic Programming edited by Stephen H Muggleton & Hiroaki Watanabe

This book represents a selection of papers presented at the Inductive Logic Programming (ILP) workshop held at Cumberland Lodge, Great Windsor Park. The collection marks two decades since the first ILP workshop in 1991. During this period the area has developed into the main forum for work on logic-based machine learning. The chapters cover a wide variety of topics, ranging from theory and ILP implementations to state-of-the-art applications in real-world domains. The international contributors represent leaders in the field from prestigious institutions in Europe, North America and Asia.

Readership: Graduate students and researchers in the field of ILP, and academics and researchers in the fields of artificial intelligence and natural sciences.

264pp Oct 2014978-1-78326-508-4 US$98 £65978-1-78326-509-1(ebook) US$127 £85

GMDH-Methodology and Implementation in C (With CD-ROM) edited by Godfrey Onwubolu (Sheridan Institute of Technology & Applied Learning, Canada)

This book makes error-free codes available to end-users so that these codes can be used to understand the implementation of GMDH, and then create opportunities to further develop the variants of GMDH algorithms. C-language has been chosen because it is a basic language commonly taught in the first year in computer programming courses in most universities and colleges, and the compiled versions could be used for more meaningful practical applications where security is necessary.

Readership: Researchers, professionals, and senior undergraduate students in artificial intelligence, neural networks, decision sciences, and innovation technology.

304pp Oct 2014978-1-84816-610-3 US$99 £65978-1-84816-611-0(ebook) US$129 £85

Series in Machine Perception and Artificial Intelligence - Volume 81Data Mining with Decision Trees (2nd Edition)Theory and Applications by Lior Rokach (Ben-Gurion University of the Negev, Israel) & Oded Maimon (Tel-Aviv University, Israel)

This 2nd Edition is dedicated entirely to the field of decision trees in data mining; to cover all aspects of this important technique, as well as improved or new methods and techniques developed after the publication of our first edition. In this new edition, all chapters have been revised and new topics brought in. New topics include Cost-Sensitive Active Learning, Learning with Uncertain and Imbalanced Data, Using Decision Trees beyond Classification Tasks, Privacy Preserving Decision Tree Learning, Lessons Learned from Comparative Studies, and Learning Decision Trees for Big Data. A walk-through guide to existing open-source data mining software is also included in this edition.

Readership: Researchers, graduate and undergraduate students in information systems, engineering, computer science, statistics and management.

328pp Sep 2014978-981-4590-07-5 US$110 £73 978-981-4590-08-2(ebook) US$143 £95

The Computer After Me Awareness and Self-Awareness in Autonomic Systems edited by Jeremy Pitt (Imperial College London, UK)

The aim of this book is to explore the technological and social and implications of computers and robots becoming increasingly ‘aware’ of their environment and the people in it, and their being increasingly ‘self-aware’ of their own existence within it.

Readership: Students and Professionals in the fields of computer science and artificial intelligence; Members of the general public with an interest in machine awareness and AI.

332pp Sep 2014978-1-78326-417-9 US$110 £73978-1-78326-418-6(ebook) US$143 £95

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WORLD SCIENTIFIC ~ IMPERIAL COLLEGE PRESS 3 www.icpress.co.uk

Series on Machine Consciousness - Volume 3The Revolutions of Scientific Structure by Colin G Hales (University of Melbourne, Australia)

This book discusses two main cultural problems behind the failure of machine consciousness and artificial general intelligence (AGI) projects over many decades. Inspired by Thomas Kuhn, one of the most influential philosophers of science of the twentieth century, this compendium proposes a fresh perspective on machine consciousness, on AGI and, more generally, on how the machinery of science might need to change to accommodate it.

Readership: Researchers, academics, professionals and graduate students in artificial intelligence, robotics, neuroscience, computational physics and nonlinear science.

344pp Jul 2014978-981-4616-24-9 US$118 £78978-981-4616-25-6(ebook) US$153 £101

Advances in Digital Handwritten Signature Processing A Human Artefact for e-Society edited by Giuseppe Pirlo (Università di Bari, Italy),Donato Impedovo (Politecnico di Bari, Italy) & Michael Fairhurst (University of Kent, UK)

Advances in Digital Handwritten Signature Processing primarily provides an update on the most fascinating and valuable researches in the multifaceted field of handwritten signature analysis and processing. The chapters within also introduce and discuss critical aspects and precious opportunities related to the use of this technology, as well as highlight fundamental theoretical and applicative aspects of the field.

Readership: Professionals, experts & researchers in the fields of biometrics and signature-based technology/solutions; advanced graduate students.

164pp Jun 2014978-981-4579-62-9 US$85 £56978-981-4579-63-6(ebook) US$111 £73

IISc Lecture Notes Series - Volume 4Game Theory and Mechanism Design by Y Narahari (Indian Institute of Science, India)

“I am very pleased that Y Narahari has written this lovely text, which presents the fundamentals of game theory and mechanism design clearly and concisely. In doing so, Dr Narahari has performed a great service to students and researchers interested in the lively interface between engineering sciences and economics.”

Professor Eric Maskin Harvard University

Nobel Laureate in Economic Sciences, 2007

This book offers a self-sufficient treatment of a key tool, game theory and mechanism design, to model, analyze, and solve centralized as well as decentralized design problems involving multiple autonomous agents that interact strategically in a rational and intelligent way. The contents of the book provide a sound foundation of game theory and mechanism design theory which clearly represent the “science” behind traditional as well as emerging economic applications for the society.

Readership: Senior undergraduate, first year master’s, and first year research students, academics and industrial researchers in computer science, computer engineering, networks and communications, artificial intelligence/machine learning, operations research, industrial engineering, management science, and microeconomics.

532pp Mar 2014978-981-4525-04-6 US$148 £98978-981-4525-05-3(ebook) US$192 £127

Principles of Quantum Artificial Intelligence by Andreas Wichert (Instituto SuperiorTécnico - Universidade de Lisboa, Portugal)

In this book, we introduce quantum computation and its application to AI. We highlight problem solving and knowledge representation framework. Based on information theory, we cover two main principles of quantum computation — Quantum Fourier transform and Grover search. Then, we indicate how these two principles can be applied to problem solving and finally present a general model of a quantum computer that is based on production systems

Readership: Professionals, academics, researchers and graduate students in artificial intelligence, theoretical computer science, quantum physics and computational physics.

276pp Oct 2013978-981-4566-74-2 US$98 £65978-981-4566-75-9(ebook) US$127 £85

Advanced Series in Circuits and Systems - Volume 7Principles of Artificial Neural Networks (3rd Edition)by Daniel Graupe (University of Illinois, Chicago, USA)

This volume covers the basic theory and architecture of the major artificial neural networks. Uniquely, it presents 18 complete case studies of applications of neural networks in various fields, ranging from cell-shape classification to micro-trading in finance and to constellation recognition — all with their respective source codes. These case studies demonstrate to the readers in detail how such case studies are designed and executed and how their specific results are obtained.

Readership: Graduate and advanced senior students in artificial intelligence, pattern recognition & image analysis, neural networks, computational economics and finance, and biomedical engineering.

384pp Aug 2013978-981-4522-73-1 US$114 £75978-981-4522-74-8(ebook) US$148 £98

Non-Axiomatic Logic A Model of Intelligent Reasoning by Pei Wang (Temple University, USA)

This book provides a systematic and comprehensive description of Non-Axiomatic Logic, which is the result of the author’s research for about three decades.

Contents: Introduction; IL-1: Idealized Situation; NAL-1: Basic Syntax and Semantics; NAL-1: Basic Inference Rules; NARS: Basic Memory and Control; NAL-2: Derivative Copulas; NAL-3: Set-Theoretic Terms; NAL-4: Relational Terms; NAL-5: Statements as Terms; NAL-6: Variable Terms; NAL-7: Events as Statements; NAL-8: Operations and Goals as Events; NAL-9: Self-Monitoring and Self-Control; Summary and Beyond.

Readership: Students and professionals interested in the field of artificial intelligence and machine learning.

276pp May 2013978-981-4440-27-1 US$98 £65 978-981-4440-28-8(ebook) US$127 £84

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Series on Machine Consciousness - Volume 1Aristotle’s Laptop The Discovery of our Informational Mind by Igor Aleksander & Helen Morton (Imperial College London, UK)

Contents: Overview: From Aristotle to the Bits of an Informational Mind; Shannon: The Reluctant Hero of the Information Age; Billions of Brain Cells: Guesses and Models; Imagination in the Circles of a Network; Phenomenal Information: The World and Neural States; Information Integration: The Key to Consciousness?; The Joy of Seeing: Gathering Visual Information; The Informational Mind: Oxymoron or New Science?; The Unconscious Mind: Freud’s Influential Vision; Aristotle’s Living Soul;

Readership: Philosophers, scientists and those interested in consciousness and machine consciousness; readers of multidisciplinary books on machine analyses of consciousness.

240pp Sep 2012978-981-4343-49-7 US$95 £63978-981-4343-50-3(ebook) US$124 £82

Series on Machine Consciousness - Volume 2Consciousness and Robot Sentience by Pentti O Haikonen (University of Illinois at Springfield, USA)

This book demystifies both the enigmatic philosophical issues of consciousness and the practical engineering issues of conscious robots by presenting them in an easy-to-understand manner for the benefit of students, researchers, philosophers and engineers in the field.

Readership: Enthusiasts in cognitive robot research (including not only experts but also hobbyists), as well as university students, researchers and engineers on robots and/or cognitive machines.

256pp Sep 2012978-981-4407-15-1 US$88 £58978-981-4407-16-8(ebook) US$114 £75

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