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The social cognitive actorHelmhout, M.

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Bibliography

Ackley, D. H., Hinton, G. E., & Sejnowski, T. J. (1985). A learning algorithm forBoltzmann Machines. Cognitive Science, 9, 147�169.

Alexander, C., Ishikawa, S., Silverstein, M., Jacobson, M., & Angel, S. (1977). APattern Language. Oxford University Press, New York.

Alexander, J. C., & Giesen, B. (1987). From Reduction to Linkage: the Long Viewof the Micro-Macro Link. In Alexander, J. C., Giesen, B., Munch, R., &Smelser, N. J. (Eds.), The Micro-Macro Link, pp. 1�44. University of Califor-nia Press, Berkeley.

Anderson, J. R. (1974). Retrieval of prepositional information from long-termmemory. Cognitive Psychology, 6, 451�474.

Anderson, J. R. (1976). Language, Memory and Thought. Erlbaum, Mahwah, NJ.Anderson, J. R. (1982). Acquisition of skill. Psychological Review, 89, 369�406.Anderson, J. R. (1983). The Architecture of Cognition. Harvard University Press,

Cambridge, MA.Anderson, J. R. (1984). Correspondent's report of cognitive psychology. Arti�cial

Intelligence, 23, 1�11.Anderson, J. R. (1987). Methodologies for studying human knowledge. Behav-

ioral and Brain Sciences, 10, 467�505.Anderson, J. R. (1990). The adaptive character of thought. Lawrence Erlbaum As-

sociates, Hillsdale, NJ.Anderson, J. R. (1993). Rules of the Mind. Lawrence Erlbaum Associates, Hills-

dale, NJ.Anderson, J. R., Bothell, D., Byrne, M. D., Douglass, S., Lebiere, C., & Qin, Y.

(2004). An Integrated Theory of Mind. Psychological Review, 111(4), 1036�1060.

Anderson, J. R., Fincham, J. M., & Douglass, S. (1999). Practice and Retention: AUnifying Analysis. Journal of Experimental Psychology, 25, 1120�1136.

263

Bibliography

Anderson, J. R., & Lebiere, C. (1998). The atomic components of thought. Erlbaum,Mahwah, NJ.

Anderson, J. R., & Schooler, L. J. (1991). Re�ections of the environment in mem-ory. Psychological Review, 2, 396�408.

Anderson, M. L. (2003). Embodied Cognition: A �eld guide. Arti�cial Intelli-gence, 149, 91�130.

Andrews, E. (2003). Conversations with Lotman: cultural semiotics in language, lit-erature and cognition. Toronto Studies in Semiotics and Communication.University of Toronto Press, Toronto.

Argyris, C., & Schon, D. (1978). Organizational learning: A theory of action per-specitve. Erlbaum, Mahwah, NJ.

Atkinson, C., & Shiffrin, M. (1968). Human memory: A proposed system and itscontrol processes. In Spence, K. W., & Spence, J. T. (Eds.), The Psychology ofLearning and Motivation, Vol. 2. Academic Press, New York.

Austin, J. L. (1962). How To Do Things With Words. Oxford University Press,Oxford.

Axelrod, R. (1984). The Evolutution of Cooperation. Basic Books, New York.Axelrod, R. (1986). An Evolutionary Approach to Norms. American Political

Science Review, 80(4), 1095�1111.Baddely, A. (1986). Working memory. Oxford University Press, London.Balci, O. (1998). Handbook of Simulation, chap. 10. Veri�cation, Valdation, and

Testing, pp. 335�396. John Wiley & Sons, Inc., New York, NY.Baranauskas, C., Liu, K., & Chong, S. (2003). Dynamics and Change in Organiza-

tions, chap. 3. Websites as representamina of organizational behaviour, pp.63�88. Kluwer Academic Publishers, Dordrecht, The Netherlands.

Barber, K. S., & Martin, C. E. (1999). Agent Autonomy: Speci�cation, Measure-ment, and Dynamic Adjustment. In Proceedings of the Autonomy ControlSoftware Workshop at Autonomous Agents 1999 (Agents'99), pp. 8�15, Seattle,WA.

Barjis, J., Dietz, J. L. G., & Liu, K. (2001). Information, organisation and technology:Studies in organisational semiotics, chap. 8. Combining the DEMO method-ology with semiotic methods in business process modelling, pp. 213�246.Kluwer Academic Publishers, Dordrecht, The Netherlands.

Batson, C. D., & Shaw, L. L. (1991). Encouraging Words concerning the Evidencefor Altruism. Psychological Inquiry, 2, 159�168.

Beaudoin, L. P. (1994). Goal Processing in Autonomousd Agents. Ph.D. thesis,School of Computer Science: University of Birmingham.

Berger, P. L., & Luckmann, T. (1967). The Social Construction of Reality: A Treatisein the Sociology of Knowledge. Anchor Books, Garden City, New York.

Berger, R. C., & Calabrese, R. J. (1975). Some explorations in initial interactionand beyond: Toward a developmental theory of interpersonal communi-cation. Human Communication Research, 1, 99�112.

264

Bibliography

Best, B. J., & Lebiere, C. (2003). Spatial Plans, Communication, and Teamworkin Synthetic MOUT Agents. In Proceedings of the 12th Conference on BehaviorRepresentation in Modeling and Simulation, Scottsdale, AZ.

Best, B. J., & Lebiere, C. (2006). Cognition and Multi-Agent Interaction: From Cogni-tive Modeling to Social Simulation, chap. 8. Cognitive Agents Interacting inReal and Virtual Worlds, pp. 186�218. Cambridge University Press, NewYork, NY.

Birthwistle, G. M., Dahl, O. J., Myhrhaug, B., & Nygard, K. (1973). Simula Begin.Auerbach, Philadelphia.

Blumer, H. (1969). Symbolic Interactionism. University of California Press, Berke-ley, Los Angeles, California, Berkeley, Los Angeles: CA.

Bond, A. H., & Gasser, L. (1988). Readings in distributed arti�cial intelligence. Mor-gan Kaufmann, San Mateo, CA.

Booch, G., Rumbaugh, J., & Jacobson, I. (1998). The uni�ed modeling language userguide. Addison-Wesley, Reading, MA.

Bosman, A. (1977). Een metatheorie over het gedrag van organisaties. StenfertKroese, Leiden.

Bothell, D., Byrne, M. D., Lebiere, C., & Taatgen, N. A. (2003). ACT-R 6 Propos-als. In ACT-R Workshop Proceedings, Pitssburgh, PA.

Bratman, M. E. (1987). Intentions, Plans, and Practical Reason. Harvard UniversityPress, Cambridge, MA.

Bratman, M. E. (1990). Intentions in Communication, chap. 2. What is intention?,pp. 15�32. MIT Press, Cambridge, MA.

Breazeal, C., & Brooks, R. A. (2004). Who Needs Emotions: The Brain Meets theRobot, chap. 10. Robot Emotion: A Functional Perspective, pp. 271�310.Oxford University Press, Oxford.

Brooks, R. A. (1986). A robust layered control system for a mobile robot. IEEEJournal of Robotics and Automation, 2(1), 14�23.

Brooks, R. A. (1991a). Intelligence without reason. In Proceedings of the 1991 In-ternational Joint Conference on Arti�cial intelligence, San Mateo, CA. MorganKaufmann.

Brooks, R. A. (1991b). Intelligence without representation. Arti�cial Intelligence,47, 139�159.

Brooks, R. A. (1999). Cambrian Intelligence. MIT Press, Cambridge, MA.Brooks, R. A., & Flynn, A. M. (1989). Fast, cheap and out of control: a robot

invasion of the solar system. Journal of The British Interplanetary Society, 42,478�485.

Brooks, R. A., & Stein, L. A. (1994). Building brains for bodies. AutonomousRobots, 1(1), 7�25.

Buhler, K. (1934). Sprachtheorie. Die Darstellungsfunktion der Sprache. Verlag vonGustav Fischer, Jena.

265

Bibliography

Buschmann, F., Meunier, R., Rohnert, H., Sommerlad, P., & Stal, M. (1996).Pattern-Oriented Software Architecture: A System of Patterns. John Wiley andSons, Chichester, UK.

Byrne, M. D., & Anderson, J. R. (1998). The atomic components of thought, chap.Perception and Action, pp. 167�200. Erlbaum, Mahwah, NJ.

Campione, M., Walrath, K., & Huml, A. (2001). The Java tutorial: a short course onthe basics. Sun Microsystems, Inc., Palo Alto, California.

Carley, K. M., & Gasser, L. (1999). Multiagent Systems: A Modern Approach to Dis-tributed Arti�cial Intelligence, chap. 7. Computational Organization Theory,pp. 299�330. MIT Press, Cambridge, MA.

Carley, K. M., Kjaer-Hansen, J., Newell, A., & Prietula, M. (1991). Plural-Soar: AProlegomenon to Arti�cial Agents and Organizational Behavior. In War-glien, M., & Masuch, M. (Eds.), Arti�cial Intelligence in Organization andManagement Theory: Models of Distributed Activity, pp. 87�118. Elsevier, Am-sterdam, North Holland.

Carley, K. M., & Newell, A. (1994). The nature of the social agent. Journal ofMathematical Sociology, 19, 221�262.

Carley, K. M., & Prietula, M. J. (1994a). Computational Organization Theory.Lawrence Erlbaum, Hillsdale, NJ.

Carley, K. M., & Prietula, M. J. (1994b). Computational Organization Theory, chap.ACTS Theory: Extending the Model of Bounded Rationality, pp. 55�87.Lawrence Erlbaum Associates, Hillsdale, NJ.

Carley, K. M., Prietula, M. J., & Lin, Z. (1998). Design Versus Cognition: The in-teraction of agent cognition design on organizational performance. Journalof Arti�cial Societies and Social Simulation, 1(3).

Castelfranchi, C. (1995). Guarantees for autonomy in cognitive agent architec-ture. In Wooldridge, M., & Jennings, N. R. (Eds.), Intelligent Agents: Theo-ries, Architectures and Languages. Springer-Verlag, Berlin.

Castelfranchi, C. (2001). The theory of social functions: challenges for computa-tional social science and multi-agent learning. Cognitive Systems Research,2, 5�38.

Chandler, D. (2002). Semiotics: the basics. Routledge, Abingdon, Oxon.Chavez, A., & Maes, P. (1996). Kasbah: an agent marketplace for buying and

selling goods. In Crabtree, B., & Jennings, N. (Eds.), Proceedings of the 1stInternational Conference on the Practical Application of Intelligent Agents andMulti-Agent Technology (PAAM-96), pp. 75�90, Blackpool: London, UK. ThePractical Application Company Ltd.

Chemero, A., & Cordeiro, W. (2006). �Dynamical, Ecological Sub-Persons�:Commentary on Susan Hurley's Consciousness in Action. Retrieved 30-6-2006, from http://host.uniroma3.it/progetti/kant/�eld/hurleysympchemero cordeiro.htm.

Cherry, C. (1980). On Human Communication. The MIT Press, London.

266

Bibliography

Chomsky, N. (1965). Aspects of the theory of syntax. MIT Press, Cambridge MA.Clark, A. (1999). An Embodied Cognitive Science?. Trends in Cognitive Science,

3(9), 345�351.Clements, P., Bachmann, F., Bass, L., Garlan, D., Ivers, J., Little, R., Nord, R., &

Stafford, J. (2002). Documenting Software Architectures: Views and Beyond.Addison-Wesley, Pearson Education, Boston, MA.

Cohen, P. R., & Levesque, H. J. (1990). Intention is Choice with Commitment.Arti�cial Intelligence, 42(2-3), 213�261.

Cohen, P. R., & Levesque, H. J. (1991). Teamwork. Nous, 25(4), 487�512.Conte, R., & Castelfranchi, C. (1995a). Cognitive and Social Action. UCL Press,

London.Conte, R., & Castelfranchi, C. (1995b). Understanding the functions of norms

in social groups through simulation. In Gilbert, N., & Conte, R. (Eds.),Arti�cial Societies: The Computer Simulation of Social life, pp. 252�267. UCLPress, London.

Conte, R., & Gilbert, N. (1995). Introduction: computer simulation for socialtheory. In Conte, R., & Gilbert, N. (Eds.), Arti�cial societies: the computersimulation of social life, pp. 1�15. UCL Press, London.

Conte, R., & Paolucci, M. (2001). Intelligent Social Learning. Journal of Arti�cialSocieties and Social Simulation, 4(1).

Cowart, M. (2006). Embodied Cognition. In The Internet Encyclopedia of Philoso-phy. http://www.iep.utm.edu/e/embodcog.htm.

Cunningham, D. J. (1998). Cognition as semiosis: The role of inference. Theoryand Psychology, 8, 827�840.

Daston, L. (1988). Classical probability in the Enlightenment. Princeton UniversityPress, Princeton, NJ.

Dautenhahn, K. (1995). Getting to know each other � Arti�cial social intelligencefor autonomous robots. Robotics and Autonomous Systems, 16, 333�356.

Dautenhahn, K., Ogden, B., & Quick, T. (2002). From Embodied to Socially Em-bedded Agents � Implications for Interaction-Aware Robots. Cognitive Sys-tems Research, 3, 397�428.

Davis, D. N. (2001). Control States and Complete Agent Architectures. Compu-tational Intelligence, 17(4), 621�650.

Davis, E. E., & Sokolove, P. G. (1975). Temperature Responses of Antennal Re-ceptors of the Mosquito, Aedes aegypti. Journal of Comparative Physiology,96, 223�236.

Decker, K. (1995). Environment Centered Analysis and Design of Coordination Mech-anisms. Ph.D. thesis, Department of Computer Science, University of Mas-sachusetts, Amherst.

Deely, J. (1990). Basics of Semiotics. Indiana University Press, Bloomington, IN.Deely, J. (2001). Umwelt. Semiotica, 134(1/4), 125�135.

267

Bibliography

Dennett, D. C. (1978). Brainstorms: Philosophical essays on mind and psychology.Harvester Press, Hassocks, Sussex.

Dennett, D. C. (1987). The Intentional Stance. Bradford Books / MIT Press, Cam-bridge, MA.

Dennett, D. C. (1991). Real patterns. Journal of Philosophy, 87, 27�51.Dignum, F. (1996). Autonomous agents and social norms. In Falcone, R., &

Conte, R. (Eds.), ICMAS'96 Workshop on Norms, Obligations and Conventions,pp. 56�71, Kyoto, Japan.

Doran, J., & Palmer, M. (1995). The EOS project: integrating two models of paele-olithic social change. In Gilbert, N., & Conte, R. (Eds.), Arti�cial Societies:the Computer Simulation of Social Life, pp. 103�125. UCL Press, London.

Durfee, E. H. (1999). Distributed Problem Solving and Planning, chap. 3, pp. 121�164. Cambridge, MA: MIT Press, Cambridge, MA.

Durfee, E. H., & Lesser, V. R. (1991). Partial global planning: A coordinationframework for distributed hypothesis formation. IEEE Transactions onSytems, Man, and Cybernetics, 21(5), 1167�1183.

Durfee, E. H., Lesser, V. R., & Corkill, D. D. (1992). Trends in cooperative dis-tributed problem solving. IEEE Transactions on Knowledge and Data Engi-neering, 1(1), 63�83.

Eco, U. (1976). A Theory of Semiotics. Indiana University Press, Bloomington, IN.Eco, U. (1990). The Limits of Interpretation. Indiana University Press, Boomington,

IN.Edmonds, B. (1998). Capturing social embeddedness: A constructivist approach.

Adaptive Behavior, 7(3/4), 323�347.Edwards, P. (1976). The encyclopedia of philosophy. MacMillan Publish Co., New

York.Epstein, J. M. (2001). Learning to be Thoughtless: Social Norms and Individual

Competition. Computational Economics, 18, 9�24.Epstein, J. M., & Axtell, R. (1996). Growing Arti�cial Societies�Social Science from

the Bottom Up. MIT Press, Cambridge, MA.Erman, L., Hayes-Roth, F., Lesser, V. R., & Reddy, D. R. (1980). The HEARSAY-II

Speech Understanding System: Integrating Knowledge to Resolve Uncer-tainty. ACM Computing Surveys, 12(2), 213�253.

Etzioni, A. (2000). Social Norms: Internalization, Persuasion, and History. Law& Society Review, 34, 157�178.

Faber, N. R. (2006). Knowledge in Sustainable Behaviour. Ph.D. thesis, SOM Re-search School: University of Groningen.

Fayol, H. (1916/1918). Administration industrielle et generale. Tech. rep., Bul-letin de la Societe de l'Industrie Minerale Dunod, Paris.

Fehr, E., & Gachter, S. (2000). Fairness and Retaliation: The Economics of Reci-procity. Journal of Economic Perspectives, 14(3), 159�181.

268

Bibliography

Ferber, J. (1999). Multi-Agent Systems: an Introduction to Distributed Arti�cial In-telligence. Addison-Wesley, Reading, MA.

Finin, T., Fritzson, R., McKay, D., & McEntire, R. (1994). KQML as an AgentCommunication Language. In Proceedings of the 3rd International Confer-ence on Information and Knowledge Management ((CIKM) '94), pp. 456�463,Gaithersburg, MD, USA. ACM Press.

FIPA (2002). FIPA ACL Message Structure Speci�cation. Retrieved 17-5-2004,from http://www.�pa.org/specs/�pa00061/SC00061G.html.

Fiske, J. (1990). Introduction to Communication Studies. Routledge, London.Fiske, S. T., & Taylor, S. F. (1991). Social Cognition. MacGraw-Hill, New York.Flynn, F., & Chatman, J. (2003). What's the norm here? Social categorization as a

basis for group norm development. In Polzer, J., Mannix, E., & Neale, M.(Eds.), Research in groups and teams, pp. 135�160. JAI Press, Elsevier Science,London.

Fodor, J. A., & Pylyshyn, Z. W. (1988). Connections and Symbols, chap. Connec-tionism and cognitive architecture: A critical analysis, pp. 3�71. MIT Press,Cambridge, MA.

Forrester, J. (1991). System Dynamics and the lessons of 35 Years. In Greene,d. K. B. (Ed.), The Systemic Basis of Policy Making in the 1990s, chap. 1, pp.5�34. MIT Press, Cambridge, MA.

Frankish, K. (2006). Review of Consciousness in Action, by Susan Hurley. Cam-bridge, MA: Harvard University Press, 1998. Retrieved 30-06-2006, fromhttp://www.open.ac.uk/Arts/philos/Hurley\ review.pdf.

Franklin, S. (1997). Autonomous Agents as Embodied AI. Cybernetics and Sys-tems, 28, 499�520.

Franklin, S., & Graesser, A. C. (1996). Is it an Agent, or Just a Program?: ATaxonomy for Autonomous Agents. In Intelligent Agents III, Agent Theories,Architectures and Languages, ECAI '96 Workshop (ATAL), pp. 21�36, Berlin.Springer-Verlag.

Franssen, M. P. M. (1997). Some contributions to methodological individualism in thesocial sciences. Ph.D. thesis, University of Amsterdam.

Gamma, E., Helm, R., Johnson, R., & Vlissides, J. (1995). Design Patterns: Elementsof Reusable Object-Oriented Software. Addison-Wesley, Indianapolis, IN.

Gasser, L., Bragamza, C., & Herman, N. (1987). MACE: a �exible testbed for dis-tributed AI research. In Huhns, M. (Ed.), Distributed Arti�cal Intelligence,pp. 119�152. Pitman Publishing: London and Morgan Kaufmann, San Ma-teo, CA.

Gazendam, H. W. M. (2001). Information, Organisation and Technology: Studiesin Organisational Semiotics, chap. 1. Semiotics, Virtual Organizations andInformation Systems, pp. 1�48. Kluwer Academic Publishers, Boston.

Gazendam, H. W. M. (2003). Models as coherent sign structures. In Gazendam,H. W. M., Jorna, R. J., & Cijsouw, R. S. (Eds.), Dynamics and change in orga-nizations: Studies in organizational semiotics 3, pp. 183�213. Kluwer, Boston.

269

Bibliography

Gazendam, H. W. M. (2004). Organizational Semiotics: a state of the art report.Semiotix, 1(1), Retrieved 10�03�2004, from http://www.semioticon.com/semiotix/newsletterindex.htm\#henk.

Gazendam, H. W. M. (2006). Planning in Intelligent Agent Systems, chap. Coordi-nation in Multi-Actor Systems, pp. 139�176. John Wiley & Sons, Hoboken,New Jersey.

Gazendam, H. W. M., & Homburg, V. M. F. (1996). Emergence of Multi-ActorSystems: Aspects of Coordination, Legitimacy and Information Manage-ment. In Proceedings of the COST A3 Conference 'Management and New Tech-nologies', Madrid, June 12-14, 1996, pp. 323�327, Luxembourg. Of�ce for Of-�cial Publications of the European Communities.

Gazendam, H. W. M., & Jorna, R. J. (1998). Theories about architecture and per-formance of multi-agent systems. Tech. rep., SOM research report 98A02,Groningen, NL.

Gazendam, H. W. M., Jorna, R. J., & Helmhout, J. M. (2006). Monitoring a socialcontext based on social constructs. In Interfacing Society, Technology andOrganisations, Campinas, Brasil. UNICAMP/IC.

Gazendam, H. W. M., & Liu, K. (2005). The evolution of organisational semiotics:A brief review of the contribution of Ronald Stamper. In Filipe, J., & Liu,K. (Eds.), Studies in organisational semiotics, Dordrecht. Kluwer AcademicPublishers.

Gazendam, L., & Jorna, R. J. (2002). Transaction Cost Economics and PlausibleActors: A Cognitive Reappraisal..

Genesereth, M. R., & Ketchpel, S. P. (1994). Software Agents. Communications ofthe ACM, 37(7), 48�53.

Genesereth, M. R., & Nilsson, N. J. (1987). Logical Foundations of Arti�cial Intelli-gence. Morgan Kaurfmann, Los Altos, CA.

Gibbs, J. P. (1965). Norms: The problem of de�nition and classi�cation. TheAmerican Journal of Sociology, 70(5), 586�594.

Gibson, J. J. (1979). The Ecological Approach to Visual Perception. Houghton Mif�in,Boston, MA.

Gigerenzer, G., & Goldstein, D. G. (1996). Reasoning the Fast and Frugal Way:Models of Bounded Rationality. Psychological Review, 103(4), 650�669.

Gilbert, N. (2006). When Does Social Simulation Need Cognitive Models?, chap. 19,pp. 428�432. MIT Press, Cambridge MA.

Gilbert, N., & Troitzsch, K. G. (1999). Simulation for the Social Scientist. MiltonKeynes: Open University Press, Milton Keynes.

Gillett, J. D. (1971). Mosquitos. Weidenfeld and Nicolson, London.Goldkuhl, G. (2005). The many facets of communication � a socio-pragmatic

conceptualisation for information systems studies. In Proceedings of Com-munication and Coordination in Business Processes, an internal workshop inKiruna, Sweden, Kiruna: Sweden.

270

Bibliography

Goodman, N., & Elgin, C. Z. (1988). Reconceptions in Philosophy and Other Artsand Sciences. Routledge, London.

Grand, S., & Cliff, D. (1997). Creatures: Entertainment software agents witharti�cial life.. Autonomous Agents and Multi-Agent Systems, 1(1), 39�57.

Hacking, I. (1999). The Social Construction of What? Harvard University Press,Cambridge, MA.

Harnad, S. (1990). The symbol grounding problem. Physica D, 42, 335�346.Harold, E. R. (1999). XML Bible. Hungry Minds, inc., New York.Hebb, D. O. (1949). The Organization of Behavior: a neuropsychological theory. Wiley,

New York.Helmhout, J. M., Gazendam, H. W. M., & Jorna, R. J. (2004). Virtual, Distributed

and Flexible Organisations: Studies in Organisational Semiotics, chap. 9. So-cial construct and boundedly rational actors: A simulation framework, pp.153�179. Kluwer Academic Publishers, Dordrecht.

Helmhout, J. M., Gazendam, H. W. M., & Jorna, R. J. (2005a). Emergence ofSocial Constructs and Organizational Behavior. In Paper presented at the21st EGOS colloquium, Berlin.

Helmhout, J. M., Gazendam, H. W. M., & Jorna, R. J. (2005b). Organisational Semi-otics, chap. The Role of Organizational Semiotics and Social Constructs inthe Social Awareness of Simulated Cognitive Plausible Actors, pp. 112�127. INSTICC Press, Berlin.

Hendler, J. (2001). Agents and the semantic Web. IEEE Intelligent Systems, 16(2),30�37.

Hewitt, C. (1977). Viewing Control Structures as Patterns of Message Passing.Arti�cial Intelligence, 8(3), 323�374.

Holland, J. H. (1975). Adaptation in Natural and Arti�cial Systems. University ofMichigan Press, Ann Arbor, MI.

Holland, J. H. (1986). Machine Learning II, chap. Escaping brittleness: The possi-bilities of general purpose machine learning algorithms applied to parallelrule-based systems, pp. 593�623. Morgan Kaufmann, Los Altos, CA.

Holland, J. H. (1995). Hidden Order. Addison Wesley, Reading, MA.Holland, J. H. (1998). Emergence: From Chaos to Order. Addison-Wesley, Redwood

City. California.Homburg, V. M. F. (1999). The Political Economy of Information Management. Ph.D.

thesis, RijksUniversiteit Groningen.Hurley, S. (2001). Perception and Action: Alternative views. Synthese, 129, 3�40.Jakobson, R. O. (1960). Closing Statements: Linguistics and Poetics, pp. 350�377.

MIT Press, Cambridge, MA.Jakobson, R. O. (1971). Language in relation to other communication systems.

In Selected Writings, Vol. 2. Mouton, The Hague.

271

Bibliography

Jennings, N. R. (1992). Joint Intentions as a Model of Multi-Agent Cooperation inComplex Dynamic Environments. Ph.D. thesis, Department of Electronic En-gineering,University of London,.

Jennings, N. R. (1995). Controlling cooperative problem solving in industrialmulti-agent systems using joint intentions. Arti�cial Intelligence, 75, 195�240.

Jennings, N. R. (1996). Coordination Techniques for Distributed Arti�cial Intel-ligence. In O'Hare, G. M. P., & Jennings, N. R. (Eds.), Foundations of Dis-tributed Arti�cial Intelligence, pp. 319�344. John Wiley & Sons, New York,NY.

Jennings, N. R., & Campos, J. R. (1997). Towards a Social Level Characterisationof Socially Responsible Agents. IEEE Proceedings on Software Engineering,144, 11�25.

Jennings, N. R., Faratin, P., Norman, T. J., O'Brien, P., & Odgers, B. (2000). Au-tonomous Agents for Business Process Management. International Journalof Applied Arti�cial Intelligence, 14(2), 145�189.

Jennings, N. R., & Pople, J. A. (1993). Design and Implementation of ARCHON'sCoordination Module. In Proceedings Workshop on Cooperating KnowledgeBased Systems, pp. 61�82, Keele, UK.

Jennings, N. R., Sycara, K., & Wooldridge, M. (1998). A Roadmap of AgentResearch and Development. Autonomous Agents and Multi-Agent Systems,1, 7�38.

Johnson, T. R. (1997). Control in Act-R and SOAR. In Shafto, M., & Langley, P.(Eds.), Proceedings of the Nineteenth annual Conference of the Cognitive ScienceSociety, pp. 343�348, Hillsdale, NJ. Lawrence Erlbaum Associates.

Jorna, R. J. (1989). Kennisrepresentaties en symbolen in de geest. Ph.D. thesis, Rijk-suniversiteit Groningen.

Jorna, R. J. (1990). Knowledge representation and symbols in the mind. StauffenburgVerlag, Tubingen, Germany.

Jorna, R. J. (2002). Cognition, Actors, and Organizations, or Why Organizationsare about Managing Knowledge. SEED (Semiotics, Evolution, Energy, andDevelopment), 4, 63�94.

Jorna, R. J., Gazendam, H. W. M., Heesen, H. C., & Van Wezel, W. M. C. (1996).Plannen en roosteren: Taakgericht analyseren, ontwerpen en ondersteunen. Lei-derdorp, Lansa Publishing.

Just, M. A., & Carpenter, P. A. (1992). A capacity theory of comprehension:individual differences in working memory. Psychological Review, 99, 122�149.

Kahneman, D., Slovic, P., & Tversky, A. (1982). Judgement under uncertainty:Heuristics and biases. Cambridge University Press, Cambridge, England.

Kalenka, S. (2001). Modelling Social Interaction Attitudes in Multi-Agent Systems.Ph.D. thesis, Department of Electronic Engineering, Queen Mary, Univer-sity of London.

272

Bibliography

Kieras, D. E., & Meyer, D. E. (1997). An Overview of the EPIC Architecture forCognition and Performance with Application to Human-Computer Inter-action. Human Computer Interaction, 12, 391�438.

Kirsh, D. (1991). Today the earwig, tomorrow man?. Arti�cial Intelligence, 47,161�184.

Kittock, J. E. (1993). Emergent Conventions and the Structure of Multi-AgentSystems. In Nadel, L., & Stein, D. (Eds.), Proceedings of the 1993 Santa FeInstitute Complex Systems Summer School, Santa Fe, CA. Addison-Wesley.

Kraaikamp, D. C. (2003). Het modelleren van een cognitieve agent. Master'sthesis, University of Groningen.

Kuran, T. (1988). The Tenacious Past: Theories of Personal and Collective Con-servation. Journal of Economic Behavior and Organization, 10, 143�171.

Laird, J. E., Newell, A., & Rosenbloom, P. S. (1987). SOAR: An Architecture forGeneral Intelligence. Arti�cial Intelligence, 33, 1�64.

Law, A. M., & Kelton, W. D. (2000). Simulation Modeling and Analysis. McGraw-Hill, Singapore.

Lehman, J. F., Laird, J. E., & Rosenbloom, P. S. (2006). A gentle Introduction toSoar: 2006 update. Retrieved 15-01-2006, from http://ai.eecs.umich.edu/soar/sitemaker/docs/misc/GentleIntroduction-2006.pdf. An update toan earlier paper (published 1996).

Lenat, D. (1975). BEINGS: Knowledge as Interacting Experts. In Proceedings ofthe 1975 IJCAI Conference, pp. 126�133, Tblisi, 1975.

Lenat, D., & Brown, J. S. (1984). Why AM and Eurisko appear to Work. Arti�cialIntelligence, 23, 269�294.

Lewis, D. (1969). Convention: A Philosophical Study. Harvard University Press,Cambridge, MA.

Lewis, R. L. (2001). Cognitive theory, Soar. In International Encyclopedia of theSocial and Behavioral Sciences. Pergamon, Amsterdam.

Lindblom, J., & Ziemke, T. (2003). Social Situatedness of Natural and Arti�cialIntelligence: Vygotsky and Beyond. Adaptive Behavior, 11, 79�96.

Liu, K. (2000). Semiotics in information systems engineering. Cambridge Uni-verisity Press, Cambridge, England.

Lopez y Lopez, F., Luck, M., & d'Iveron, M. (2005). A Normative Framework forAgent-Based Systems. In 1st International Symposium on Normative Multi-agent Systems (NorMAS2005), pp. 24�35, Hat�eld, UK. The University ofHertfordshire.

Luck, M., McBurney, P., & Preist, C. (2004). Agent Technology: Enabling NextGeneration Computing (A Roadmap for Agent-Based Computing). Tech.rep., AgentLink, Liverpool & Southampton.

Maes, P. (1994). Agents that reduce work and information overload. Communi-cations of the ACM, 37(7), 31�40.

273

Bibliography

Mahoney, P., & Sanchirico, C. (2001). Competing Norms and Social Evolution:Is the Fittest Norm Ef�cient?. Tech. rep., University of Virginia, School ofLaw: working paper, No. 00-15, Virginia.

Malone, T. W., & Crowston, K. (1991). Towards an interdisciplinary theory ofcoordination. Tech. rep., MIT Sloan School of Management: Center forCoordination Science Technical Report 120, Cambridge, MA.

March, J. G. (1991). Exploration and Exploitation in Organizational Learning.Organization Science, 2(1), 71�87.

March, J. G., Schulz, M., & Zhou, X. (2000). The Dynamics of Rules: Change inwritten Organizational Codes. Stanford University Press, Stanford, CA.

March, J. G., & Simon, H. A. (1958). Organizations. J.Wiley, New York.Marr, D. (1982). Vision. Freeman, New York.McAdams, R. H. (1997). The Origin, Development, and Regulation of Norms.

Michigan Law Review, 96, 338�433.Mead, G. H. (1934). Mind, Self and Society from the Perspective of a Social Behaviorist.

University of Chicago, Chicago.Meckler, M., & Baillie, J. (2003). The Truth About Social Construction in Admin-

istrative Science. Journal of Management Inquiry, 12(3), 273�284.Meyer, D. E., & Kieras, D. E. (1997). A computational theory of executive cog-

nitive processes and multiple-task performance: I Basic mechanisms. Psy-chological Review, 104(1), 3�65.

Mietus, D. M. (1994). Understanding planning for effective decision support. Ph.D.thesis, Faculty of Management and Organization: University of Gronin-gen.

Miller, G. A. (1956). The magical number seven, plus or minus two: Some limitson our capacity for processing information. Psychological Review, 63, 81�97.

Minar, N., Burkhart, R., Langton, C., & Askenazi, M. (1996). The Swarm Sys-tem: A Toolkit for Building Multi-Agent Simulations. Tech. rep. 96-06-042,Santa Fe Institute, Santa Fe, CA.

Minsky, M. (1985). The Society of Mind. Simon & Schuster, New York.Mitrani, L. (1982). Simulation techniques for discrete event systems. Cambridge

University Press, Cambridge, MA.Mitroff, I., Betz, F., Pondy, L., & Sagasti, F. (1974). On managing science in the

system age: two schemes for the study of science as a whole systems phe-nomenon. TIMS interfaces, 4(3), 46�58.

Miyashita, Y. (2004). Cognitive Memory: Cellular and Network Machineries andTheir Top-Down Control. Science, 306(5695), 435�440.

Mobach, M. P. (2005). Improvements in the design process of organization andbuilding with virtual reality. In Fischer, X., & Coutelier, D. (Eds.), Researchin interactive design. Springer, Paris.

274

Bibliography

Morgenstern, O., & Von Neumann, J. (1947). Theory of Games and Economic Be-havior. Princeton University Press, Princeton, NJ.

Morris, R. T. (1956). A Typology of Norms. American Sociological Review, 21,610�613.

Moss, S. (2006). Cognition and Multi-Agent Interaction, chap. 15. Cognitive Scienceand Good Social Science, pp. 393�400. MIT Press, Cambridge, MA.

Moss, S., Edmonds, B., & Wallis, S. (1997). Validation and Veri�cation of Com-putational Models with Multiple Cognitive Agents. Tech. rep. 9725, Centrefor Policy Modelling, Manchester, UK.

Nash, J. (1950). Equilibrium points in n-person games. In Proceedings of theNational Academy of the USA, Vol. 36, pp. 48�49.

Newell, A. (1973). You can't play 20 questions with nature and win: Projectivecomments on the papers of this symposium. In Chase, W. G. (Ed.), VisualInformation Processing. New York: Academic Press, New York.

Newell, A. (1980). Physical symbol systems. Cognitive Science, 4, 135�183.Newell, A. (1982). The Knowledge Level. Arti�cial Intelligence, 18(1), 87�127.Newell, A. (1990). Uni�ed theories of cognition. Harvard University Press, Cam-

bridge, MA.Newell, A., & Rosenbloom, P. S. (1981). Cognitive skills and their acquisition,

chap. 1. Mechanisms of skill acquisition and the law of practice, pp. 1�56.Lawrence Erlbaum Associates, Hillsdale, NJ.

Newell, A., & Simon, H. A. (1972). Human Problem Solving. Prentice-Hall, Engle-wood Cliffs, NJ.

Newell, A., & Simon, H. A. (1976). Computer science as emprirical inquiry:Symbols and search. Communications of the ACM, 19, 113�126.

Odell, J., Van Dyke, H., Fleischer, M., & Breuckner, S. (2002). Modeling Agentsand their Environment. In Giunchiglia, F., Odell, J., & Weiss, G. (Eds.),Agent-Oriented Software Engineering (AOSE) III, Vol. 2585 of Lecture Noteson Computer Science, pp. 16�31. Springer, Berlin.

O'Hare, G. M. P., & Jennings, N. R. (1996). Foundations of Distributed Arti�cialIntelligence. Wiley, New York.

Panzarasa, P., Jennings, N. R., & Norman, T. J. (2001). Social Mental Shaping:Modelling the Impact of Sociality on the Mental States of AutonomousAgents. Computational Intelligence, 17(4), 738�782.

Parunak, H. V. D. (1995). Foundations of Distributed AI, chap. 4. Applications ofDistributed Arti�cial Intelligence in Industry, pp. 71�76. Wiley, New York.

Pashler, H. E. (1994). Dual-task interference in simple tasks: Data and Theory.Psychological Bulletin, 116, 220�244.

Pashler, H. E. (1998). The psychology of attention. MIT Press, Cambridge, MA.Pearsall, J. (2002). Concise Oxford English Dictionary. Oxford University Press,

New York.

275

Bibliography

Peirce, C. S. (1931). Collected Papers, Vol. I-VIII. Harvard University Press, Cam-bridge, MA.

Piaget, J. (1985). The equilibration of cognitive structures. University of ChicagoPress, Chicago, IL.

Picker, R. C. (1997). Simple Games in a Complex World: A Generative Approachto the Adoption of Norms. University of Chicago Law Review, 64, 1225�1287.

Pylyshyn, Z. W. (1984). Computation and cognition: Towards a foundation of cogni-tive science. MIT Press, Cambridge, MA.

Rao, A. S., & Georgeff, M. P. (1995). BDI Agents: From Theory to Practice. In Pro-ceedings of the First International Conference on Multi-Agent Systems (ICMAS-95), Menlo Park, CA. AAAI Press.

Rawls, J. (1971). A Theory of Justice. Oxford University Press, Oxford.Robinson, S. (2004). Simulation: The Practice of Model Development and Use. Wiley,

Chichester, UK.Roest, G. B. (2004). RBot-Project: cognitie, actor architectuur(in Dutch). Master's

thesis, University of Groningen: Knowledge Management.Rubin, D. C., & Wenzel, A. E. (1996). One hundred years of forgetting: A quan-

titative description of retention. Psychological Review, 103, 734�760.Rumelhart, D. E., McClelland, J. L., & PDP Research Group, . (1986). Parallel

distributed processing: Explorations in the microstructure of cognition, Vol. 1:foundations. MIT Press, Cambridge, MA.

Rumelhart, D. E., & Norman, D. A. (1978). Semantic factors in cognition, chap.Accretion, tuning, and restructuring: Three modes of learning, pp. 37�53.Lawrence Erlbaum Associates, Hillsdale, NJ.

Russell, S., & Norvig, P. (2003). Arti�cial Intelligence: A Modern Approach. PrenticeHall, London.

Sargent, R. G. (2000). Ver�cation, validation, and accreditation of simulationmodels. In Joines, J., Barton, R. R., Fishwick, P., & Kang, K. (Eds.), Pro-ceedings of the 2000 Winter Simulation Conference, pp. 50�59, Piscataway, NJ.Institute of Electrical and Electronics Engineers.

Sawyer, R. K. (2003). Arti�cial Societies: Multiagent Systems and the Micro-Macro Link in Sociological Theory. Sociological Methods & Research, 31(3),325�363.

Schank, R., & Abelson, R. (1977). Scripts, Plans, Goals and Understanding. ErlbaumAssociates, Hillsdale.

Schmidt, K. (1991). Distributed decision making: Cognitive models for cooperativework, chap. Cooperative Work: A Conceptual Framework, pp. 75�110. JohnWiley and Sons, Chichester, UK.

Schneider, D. J. (1991). Social Cognition. Annual Review of Psychology, 42, 527�561.

Schumpeter, J. A. (1934). The Theory of Economic Development. Harvard Univer-sity Press, Cambridge, MA.

276

Bibliography

Searle, J. R. (1969). Speech Acts: an Essay in the Philosophy of Language. CambridgeUniversity Press, Cambridge.

Searle, J. R. (1979). Expression and Meaning: Studies in the Theory of Speech Acts.Cambridge University Press, Cambridge, NY.

Searle, J. R. (1995). The Construction of Social Reality. Penguin, London.Sebeok, T. A. (1991). A Sign is Just a Sign. Indiana University Press, Bloomington,

IN.Sebeok, T. A. (1994). Signs: An Introduction to Semiotics. University of Toronto

Press, Toronto.Sebeok, T. A. (1996). Origins of Language, chap. 5. Signs, bridges, origins, pp.

89�115. Collegium Budapest, Budapest.Shannon, C. E., & Weaver, W. (1949). A Mathematical Model of Communication.

University of Illinois Press, Urbana.Shoham, Y. (1993). Agent Oriented Programming. Arti�cial Intelligence, 60, 51�

92.Shoham, Y., & Tennenholtz, M. (1992a). Emergent Conventions in Multi-Agent

Systems: Initial Experimental Results and Observations. In Rich, C.,Swartout, W., & Nebel, B. (Eds.), Proceedings of the 3rd International Confer-ence on KR&R, pp. 225�232, San Francisco, California. Morgan KaufmannPublishers.

Shoham, Y., & Tennenholtz, M. (1992b). On the synthesis of useful social lawsfor arti�cial agent societies. In Swartout, W. R. (Ed.), Proceedings of the10th National Conference on Arti�cial Intelligence (AAAI-92), pp. 276�281, SanJose, CA. The AAAI Press / The MIT Press.

Shoham, Y., & Tennenholtz, M. (1995). On Social Laws for Arti�cial Agent Soci-eties: Off-Line Design. Arti�cial Intelligence, 73(1-2), 231�252.

Shuell, T. J. (1986). Cognitive Conceptions of Learning. Review of EducationalResearch, 56(4), 411�436.

Simon, H. A. (1956). Rational choice and the structure of the environment. Psy-chological Review, 63, 129�138.

Simon, H. A. (1976/1945). Administrative behaviour: A study of decision-makingprocesses in administrative organization (3rd edition). The Free Press, NewYork.

Simon, H. A. (1982). Models of bounded rationality. MIT Press, Cambridge, MA.Simon, H. A. (1996). The sciences of the arti�cial (3rd ed.). MIT Press, Cambridge,

MA.Sismondo, S. (1993). Some Social Constructions. Social Studies of Science, 23(3),

515�553.Sloman, A. (1987). Motives, Mechanisms and Emotions. Emotion and Cognition,

1, 217�234.

277

Bibliography

Sloman, A. (1993). The mind as a control system. In Hookway, C., & Peter-son, D. (Eds.), Philosopy and the Cognitive Sciences, pp. 69�110. CambridgeUniversity Press, Cambridge.

Sloman, A. (2001). Varieties of Affect and the CogAff Architecture Schema. InJohnson, C. (Ed.), Proceedings Symposium on Emotion, Cognition, and Affec-tive Computing AISB'01 Conventions, pp. 39�48, York, UK.

Sloman, S. A. (1996). The empirical case for two systems of reasoning. Psycho-logical Bulletin, 119, 3�22.

Sloman, S. A. (1999). Cognitive Architecture. In Wilson, R., & Keil, F. (Eds.), TheMIT Encyclopedia of Cognitive Science, pp. 124�126. MIT Press, Cambridge,MA.

Smith, R. G., & Davis, R. (1980). Frameworks for cooperation in distributedproblem solving. IEEE Transactions on Systems, Man and Cybernetics, 11(1),61�70.

Smolensky, P. (1988). On the proper treatment of connectionism. Behavioral andBrain Sciences, 11, 1�23.

Sperling, G. (1960). The information available in brief visual representations.Psychological Monograph, 74, 1�29.

Stamper, R. K. (1973). Information in Business and Administrative Systems. JohnWiley & Sons, New York.

Stamper, R. K. (1992). Language and computer in organised behaviour. In Lin-guistic Instruments in Knowledge Engineering, pp. 143�163. Elsevier Science,Amsterdam.

Stamper, R. K. (2001). Organisational semiotics: Informatics without the com-puter?. In Liu, K., Clarke, R., Andersen, P. B., & Stamper, R. K. (Eds.),Information, organisation and technology: Studies in organisational semiotics.Kluwer Academic Publishers, Boston, MA.

Stamper, R. K., Liu, K., Hafkamp, M., & Ades, Y. (2000). Understanding Rolesof Signs and Norms in Organisations. Journal of Behaviour and InformationTechnology, 19(1), 15�27.

Steels, L. (1994). The Arti�cial Life Roots of Arti�cial Intelligence. Arti�cial LifeJournal, 1, 75�110.

Still, K. (2000). Crowd Dynamics. Ph.D. thesis, Mathematics Department: War-wick University.

Stillings, N. A., Weisler, S. W., Chase, C. H., Feinstein, M. H., Gar�eld, J. L.,& Rissland, E. L. (1995). Cognitive Science: An Introduction. MIT Press,Cambridge MA.

Suchman, L. A. (1987). Plans and situated actions: The problem of human-machinecommunication. Cambridge University Press, New York.

Sun, R. (2001). Cognitive science meets multi-agent systems: a prolegomenon.Cognitive Systems Research, 14(1), 5�28.

Sun, R. (2002). Duality of Mind. Lawrence Erlbaum Associates, Mahwah, NJ.

278

Bibliography

Sun, R. (2003). A tutorial on CLARION 5.0. Tech. rep., RPI, New York.Sun, R. (2006a). Cognition and Multi-Agent Interaction. Cambridge University

Press, Cambridge, MA.Sun, R. (2006b). Prolegomena to Integrating Cognitive Modeling and Social Simula-

tion, chap. 1, pp. 3�26. MIT Press, Cambridge MA.Sun, R., Zhang, X., & Mathews, R. (2006). Modeling Meta-Cognition in a Cogni-

tive Architecture. In Press.Sunstein, C. R. (1996). Social Norms and Social Roles. Columbia Law Review,

96(4), 903�968.Sycara, K. (1998). Multiagent Systems. AI Magazine, 19(2), 79�92.Taatgen, N. A. (1999). Learning without Limits: From problem solving towards a

uni�ed theory of learning. Ph.D. thesis, University of Groningen: FacultyPPSW, Groningen, NL.

Taatgen, N. A. (2005). Modeling parallelization and �exibility improvementsin skill acquisition from dual tasks to complex dynamic skills. CognitiveScience, 29(3), 421�455.

Taatgen, N. A., & Anderson, J. R. (2006). Handbook of Computational CognitiveModeling, chap. In press. Constraints in Cognitive Architectures. Cam-bridge University Press, Cambridge, UK.

Taatgen, N. A., & Lee, F. J. (2003). Production Compilation: A simple mechanismto model Complex Skill Acquisition. Human Factors, 45(1), 61�76.

Tenbrunsel, A. E., Galvin, T. L., Neale, M. A., & Bazerman, M. H. (1996). Cog-nitions in Organizations. In Clegg, S. R., Hardy, C., & Nord, W. R. (Eds.),Handbook of Organizations, chap. 2.4, pp. 311�377. Sage Publications, Lon-don.

The ACT-R community, . (2005). Research report concerning the DARPA BICA(Biologically Inspired Cognitive Architectures) program. Tech. rep., ACT-R: Carnegie Mellon University, Pitssburgh.

Troitzsch, K. G. (1997). Social science simulation � Origin, prospects, purposes.In Conte, R., Hegselmann, R., & Terna, P. (Eds.), Simulating social phenom-ena, pp. 41�54. Springer, Heidelberg.

Tulving, E. (1972). Episodic and semantic memory. In Tulving, E., & Donaldson,W. (Eds.), Organisation of memory, pp. 381�403, New York. Academic Press.

Tulving, E. (1985). How many memory systems are there?. American Psychologist,40(4), 385�398.

Van den Broek, H. (2001). On Agent Cooperation: The relevance of cognitive plau-sibility for multiagent simulation models of organizations. Ph.D. thesis, SOMGraduate School / Research Institute : Systems, Organization and Man-agement.

Van Heusden, B., & Jorna, R. J. (2001). Toward a semiotic theory of cognitivedynamics in organizations. In Liu, K., Clarke, R. J., Andersen, P. B., &

279

Bibliography

Stamper, R. K. (Eds.), Information, Organisation and Technology, Vol. 1 of In-formation and Organization Design Series, chap. 4. Springer-Verlag, Berlin.

Vera, A. H., & Simon, H. A. (1993). Situated Action: A Symbolic Interpretation.Cognitive Science, 17(1), 7�48.

Verhagen, H. J. E. (2000). Norm Autonomous Agents. Ph.D. thesis, The RoyalInstitute of Technology and Stockholm University.

Verhagen, H. J. E., & Masuch, M. (1994). Computational Organization Theory,chap. 3. TASCCS: A Synthesis of Double-AISS and Plural-SOAR, pp. 39�54. Lawrence Erlbaum Associates, Hillsdale, NJ.

Vogt, P. (2002). The physical symbol grounding problem. Cognitive Systems Re-search, 3(3), 429�457.

Volterra, V. (1926). Variation and �uctuations of the number of individuals ofanimal species living together. In Chapman, R. N. (Ed.), Animal Ecology,pp. 409�448. McGraw-Hill (1931), New York.

Von Hayek, F. A. (1979). Law, legislation, and liberty: The political order of a freepeople., Vol. 3. Routledge & Kegan Paul, London.

Von Martial, F. (1990). Interaction among autonomous planning agents.. InDemazeau, Y., & Muller, J. P. (Eds.), Decentralized AI - Proceedings of theFirst European Workshop on Modelling Autonomous Agents in a Multi-AgentWorld (MAAMAW-89), pp. 105�120, Amsterdam. Elsevier.

Von Uexkull, J. (1934). Streifzuge durch die Umwelten von Tieren und Menschen.Springer Verlag, Berlin.

Von Uexkull, J. (1957). A stroll through the worlds of animals and men � apicture book of invisible worlds. In Instinctive Behavior - The Developmentof a Modern Concept. International Universities Press, New York.

Vygotsky, L. S. (1962). Thought and Language. MIT Press, Cambridge, MA.Vygotsky, L. S. (1978). Mind in Society. Harvard University Press, Cambridge,

MA.Watkins, C. (1989). Learning from Delayed Rewards. Ph.D. thesis, University of

Cambridge,England.Whitner, R. B., & Balci, O. (1989). Guidelines for Selecting and Using Simulation

Model Veri�cation Techniques. In Macnair, E. A., Musselman, K. J., &Heidelberger, P. (Eds.), Proceedings of the 1989 Winter Simulation Conference,pp. 559�568, Piscataway, NJ. IEEE.

Wilson, E. O. (1975). Sociobiology: The New Synthesis. Harvard University Press,Cambridge, MA.

Wittig, T. (1992). ARCHON: An Architecture for Multi-Agent Systems. Ellis Hor-wood, Chichester, UK.

Wooldridge, M. (1994). Coherent social action. In Cohn, A. G. (Ed.), Proceedingsof the 11th European Conference on Arti�cial Intelligence (ECAI-94), pp. 279�283, Amsterdam, The Netherlands. John Wiley & Sons.

280

Bibliography

Wooldridge, M. (1999). Intelligent Agents. In Weiss, G. (Ed.), Multiagent Systems:A Modern Approach to Distributed Arti�cial Intelligence, chap. 1, pp. 27�78.MIT Press, Cambridge, MA.

Wooldridge, M. (2000). Reasoning about Rational Agents. MIT Press, Cambridge,MA.

Wooldridge, M. (2002). An introduction to Multi-Agent Systems. Joh Wiley & SonsLtd., West Sussex, England.

Wooldridge, M., & Jennings, N. R. (1995). Intelligent agents: Theory and prac-tice. The Knowledge Engineering Review, 10(2), 115�152.

Woolf, B., & Brown, K. (2002). Patterns of System Integration with EnterpriseMessaging. In Proceedings of the 9th Conference on Pattern Language of Pro-grams 2002. IBM.

Wright, I., Sloman, A., & Beaudoin, L. P. (1996). Towards a design-based analysisof emotional episodes. Philosophy, Psychiatry and Psychology, 3(2), 101�126.

Young, H. P. (1993). The evolution of conventions. Econometrica, 61, 57�84.Young, H. P. (1995). The economics of convention. Journal of Economic Perspec-

tives, 10, 105�122.Zdun, U., & Avgeriou, P. (2005). Architectural patterns revisited - a pattern lan-

guage. In Proceedings of 10th European Conference on Pattern Languages ofPrograms (EuroPlop 2005), pp. 1�39, Irsee, Germany.

Ziemke, T., & Sharkey, N. E. (2001). A stroll through the worlds of robots and an-imals: Applying Jakob von Uexkull's theory of meaning to adaptive robotsand arti�cial life. Semiotica, 134(1-4), 701�746.

281