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

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Overview

This book explores the intersection between cognitive sciences and social sciences. In particular, it explores the intersection between individual cognitive modeling and modeling of multi-agent interaction. The two contributing fields-individual cognitive modeling (especially cognitive architectures) and modeling of multiagent interaction (including social simulation and, to some extent, multi-agent systems) - have seen phenomenal growth in recent years. However, the interaction of these two fields has not been sufficiently developed. The interaction of the two may be more significant than either alone. They bring with them enormous intellectual capitals. These intellectual capitals can be profitably leveraged in creating true synergy between the two fields, leading to better understanding of both individual cognition and sociocultural processes. It is possible that an integrative field of study in cognitive and social sciences in emerging and we are laying the foundation for it.
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Product Details

  • ISBN-13: 9780521839648
  • Publisher: Cambridge University Press
  • Publication date: 12/31/2005
  • Pages: 448
  • Product dimensions: 5.98 (w) x 8.98 (h) x 0.98 (d)

Meet the Author

Ron Sun is Professor of Cognitive Science at Rensselaer Polytechnic Institute. A well known researcher in cognitive science, Ron Sun leads projects investigating fundamental structures of the human mind. In particular, he recently published a book entitled 'Duality of the Mind', exploring the interaction of implicit and explicit cognition. He is also the founding co-editor-in-chief of the journal 'Cognitive Systems Research'

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Table of Contents

1 Prolegomena to integrating cognitive modeling and social simulation 3
2 Modeling paradigms in ACT-R 29
3 Considering soar as an agent architecture 53
4 The CLARION cognitive architecture : extending cognitive modeling to social simulation 79
5 Cognitive architectures, game playing, and human evolution 103
6 Simulating a simple case of organizational decision making 124
7 Cognitive modeling of social behaviors 151
8 Cognitive agents interacting in real and virtual worlds 186
9 Modeling social emotions and social attributions 219
10 Communicating and collaborating with robotic agents 252
11 Behavior-based methods for modeling and structuring control of social robots 279
12 Evolution of a teamwork model 307
13 Sociality in embodied neural agents 328
14 Cognitive architecture and contents for social structures and interactions 355
15 Cognitive science and good social science 393
16 Collective cognition and emergence in multi-agent systems 401
17 Social judgment in multi-agent systems 409
18 Including human variability in a cognitive architecture to improve team simulation 417
19 When does social simulation need cognitive models? 428
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