MODELING SOCIALLY INTELLIGENT AGENTS

REFERENCES

• Akiyama , E. and Kaneko , K. 1996 . Evolution of cooperation, differentiation, complexity, and diversity in an iterated three-person game . Artificial Life , 2 : 293 – 304 .
   Google Scholar
• Arifovic , J. 1994 . Genetic algorithm learning and the cobweb model . Journal of Economic Dynamics and Control , 18 : 3 – 28 .
   Web of Science ®Google Scholar
• Arthur , B. 1994 . Inductive reasoning and bounded rationality . American Economic Association Papers , 84 : 406 – 411 .
   Web of Science ®Google Scholar
• Bednarz , J. 1984 . Complexity and intersubjectivity . Human Studies , 7 : 55 – 70 .
   Web of Science ®Google Scholar
• Bonasso , R. P. , Kortenkamp , D. , Miller , D. P. and Slack , M. 1995 . Experience with an architecture for intelligent reactive agents . Lecture Notes in Artificial Intelligence , 1037 : 187 – 202 .
   Google Scholar
• Campbell , D. T. 1960 . Blind variation and selective retention in creative thought as in other knowledge processes . Psychological Review , 67 : 380 – 400 .
   PubMed Web of Science ®Google Scholar
• Carneiro , R. L. 1987 . The evolution of complexity in human societies and its mathematical expression . International Journal of Comparative Sociology , 28 : 111 – 128 .
   Web of Science ®Google Scholar
• Cooper , R. , Fox , J. , Farringdom , J. and Shallice , T. 1997 . A systematic methodology for cognitive modeling . Artificial Intelligence , 85 : 3 – 44 .
   Web of Science ®Google Scholar
• Dennett , D. C. 1995 . Consciousness explained . Philosophy and Phenomenological Research , 53 : 889 – 892 .
   Web of Science ®Google Scholar
• Earley , P. C. and Brittain , J. 1992 . Cross-level analysis of organizations—social resource-management model . Research in Organizational Behaviour , 15 : 357 – 408 .
   Web of Science ®Google Scholar
• Edmonds , B. and Moss , S. J. 1997 . Modeling bounded rationality using evolutionary techniques . Lecture Notes in Computer Science , 1305 : 31 – 42 .
   Google Scholar
• Edmonds , B. , Moss , S. J. and Wallis , S. 1996 . “ Logic, reasoning and a programming language for simulating economic and business processes with artificial intelligent agents. ” . In Artificial Intelligence in Economics and Management Edited by: Ein-Dor , P. 221 – 230 . Boston, MA : Kluwer Academic. .
   Google Scholar
• Edmonds , B. “ Modelling bounded rationality in agent-based simulations using the evolution of mental models. ” . In Computational Techniques for Modelling Learning in Economics Edited by: Brenner , T. Boston, MA : Kluwer Academic. . In press
   Google Scholar
• Gärdenfors , P. The pragmatic role of modality in natural language . Presented at 20th Wittgenstein Symposium . Kirchberg am Weshel, Lower Austria.
   Google Scholar
• Holland , J. H. 1992 . Adaptation in natural and artificial systems, , 2d ed. Cambridge, Mass : MIT Press. .
   Google Scholar
• Johnson-Laird , P. N. 1983 . Mental models. Cambridge : University Press. .
   Google Scholar
• Kaneko , K. 1990 . Globally coupled chaos violates the law of large numbers but not the central limit theorem . Phys. Rev. Lett. , 65 : 1391 – 1394 .
   PubMed Web of Science ®Google Scholar
• Koza , J. R. 1992 . Genetic Programming: On the programming of computers by means of natural selection. Cambridge, MA : MIT Press. .
   Google Scholar
• Latane , B. , Nowak , A. and Liu , J. H. 1994 . Measuring emergent social phenomena—dynamism, polarization and clustering as order parameters of social systems . Behavioral Science , 39 : 1 – 24 .
   Google Scholar
• Montana , D. J. 1995 . Strongly typed genetic programming . Evolutionary Computation , 3 : 199 – 230 .
   Web of Science ®Google Scholar
• Moss , S. J. and Edmonds , B. 1998 . Modeling economic learning as modeling . Systems and Cybernetics , 29 : 5 – 37 .
   Web of Science ®Google Scholar
• Moss , S. J. , Edmonds , B. and Wallis , S. 1997 . Validation and verification of computational models with multiple cognitive agents Manchester, , UK : Manchester Metropolitan University. . http://www.cpm.mmu.ac.uk/cpmrep25.htmlCentre for Policy Modeling Report 97–25
   Google Scholar
• Moss , S. J. , Gaylard , H. , Wallis , S. and Edmonds , B. 1998 . SDML: A multi-agent language for organizational modeling . Computational and Mathematical Organization Theory , 4 : 43 – 69 .
   Google Scholar
• Palmer , R. G. 1994 . Artificial economic life—A simple model of a stockmarket . Physica D , 75 : 264 – 274 .
   Web of Science ®Google Scholar
• Penrose , E. T. 1959 . The theory of the growth of the firm. Oxford : Blackwells. .
   Google Scholar
• Searle , J. R. 1969 . Speech acts: An essay in the philosophy of language. London : Cambridge University Press. .
   Google Scholar
• Simon , H. 1957 . Administrative behavior: A study of decision-making processes in administrative organization. New York : Macmillan. .
   Google Scholar
• Simon , H. A. 1972 . “ Theories of bounded rationality. ” . In Decision and organization Edited by: McGuire , C. B. and Radner , R. Amsterdam : North-Holland. .
   Google Scholar
• Wittgenstein , L. 1953 . Philosophical investigations. Oxford : Blackwells. .
   Google Scholar