By Ron Sun
This ebook explores the intersection among cognitive sciences and social sciences. particularly, 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 noticeable extra special development lately. besides the fact that, the interplay of those fields has now not been sufficiently built. We think that the interplay of the 2 could be extra major than both by myself.
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Additional resources for Cognition and Multi-Agent Interaction: From Cognitive Modeling to Social Simulation
Modeling Paradigms in ACT-R 33 It is easy to model instance learning in ACT-R. Achieved goals are already automatically stored in declarative memory. Items in declarative memory have an activation value that decays over time, lowering the probability of correct recall, and is boosted by additional rehearsals, increasing the probability of recall. Another aspect of instance learning in ACT-R, which is not covered by Logan’s original theory, is that the retrieval attempt can produce an example that is slightly different from the example that is searched for.
2000). Institutions meet mind: The way out of an impasse. Constitutional Political Economy, 11, 165–180. , & the PDP Research Group. (1986). Parallel distributed processing: Explorations in the microstructures of cognition. Cambridge, MA: MIT Press. Sawyer, R. (2003). Multiagent systems and the micro-macro link in sociological theory. Sociological Methods and Research, 31(3), 325–363. , & Gray, W. (2002). Introduction to the special issue on computational cognitive modeling. Cognitive Systems Research, 3(1), 1–3.
Although such consistencies are evidently limited, brittle, and controvertible, they nevertheless serve important teleological functions. They also serve as the basis of our argument: From the triad of thinking–motivation–structure to the link between the micro and the macro, these consistencies form a plausible foundation for integrating social simulation and cognitive modeling. , computational cognitive social simulation), utilizing cognitive architectures in particular. The argument from complexity and expressive power of computational models did the bulk of the work in this regard.
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