Ron Sun's Cognition and Multi-Agent Interaction: From Cognitive PDF

By Ron Sun

ISBN-10: 0521839645

ISBN-13: 9780521839648

This e-book explores the intersection among cognitive sciences and social sciences. specifically, it explores the intersection among person cognitive modeling and modeling of multi-agent interplay (social stimulation). the 2 contributing fields--individual cognitive modeling (especially cognitive architectures) and modeling of multi-agent interplay (including social simulation and, to some degree, multi-agent systems)--have visible extraordinary development lately. despite the fact that, the interplay of those fields has no longer been sufficiently built. We think that the interplay of the 2 can be extra major than both on my own.

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1999). Learning and evolution. Autonomous Robots, 7(1), 89–113. , & Mavor, A. (eds), (1998). Modeling Human and Organizational Behavior: Application to Military Simulations. Washington, DC: National Academy Press. Piaget, J. (1971). Biology and knowledge. Edinburgh, UK: Edinburgh University Press. , & Gasser, L. ), (1998). Simulating Organizations: Computational Models of Institutions and Groups. Cambridge, MA: MIT Press. , & Baxter, G. (2003). Techniques for Modeling Human Performance in Synthetic Environments: A Supplementary Review.

Gilbert, N. (1995). Simulation: An emergent perspective. Conference on New Technologies in the Social Sciences. Bournemouth, UK. , & Conte, R. (eds), (1995). Artificial societies. London: UCL Press. , & Doran, J. (1994). Simulating societies: The computer simulation of social phenomena. London, UK: UCL Press. , & Altmann, E. (2001). Cognitive modeling and human-computer interaction. In W. ), International Encyclopedia of Ergonomics and Human Factors: Vol. 1, pp. 387–391. New York: Taylor and Francis.

The estimated value of P is simply the ratio of successes to the sum of successes and failures: P= Successes Successes + Failures Probability of Success Equation However, there is a complication here that makes this like a Bayesian estimate. This complication concerns how the counts for Successes and Failures start out. It might seem natural to start them out at 0. However, this means that P is initially not defined and after the first experience the estimate of P will be extreme at either the value 1 or 0 depending on whether the first experience was a success or failure.

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Cognition and Multi-Agent Interaction: From Cognitive Modeling to Social Simulation by Ron Sun


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