Connectionist Models of Social Reasoning and Social Behavior

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This book, the first to apply neural network models to social phenomena, brings together various approaches by social psychologists to connectionist models, allowing readers to appreciate the breadth of these approaches, as well as the theoretical commonality of many of these models. In chapters dealing with the learning and application of categories and stereotypes, causal reasoning, social explanation, person perception, personality and social behavior, classic dissonance phenomena, belief change, and the coherence of large-scale belief systems, there will be something in this book for every social psychologist.
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Product Details

  • ISBN-13: 9780805822151
  • Publisher: Taylor & Francis
  • Publication date: 5/28/1998
  • Pages: 396
  • Lexile: 1430L (what's this?)
  • Product dimensions: 6.26 (w) x 9.14 (h) x 1.39 (d)

Table of Contents

1 Making Sense of People: Coherence Mechanisms 3
2 On the Dynamic Construction of Meaning: An Interactive Activation and Competition Model of Social Perception 27
3 The Dynamics of Group Impression Formation: The Tensor Product Model of Exemplar-Based Social Category Learning 71
4 Person Perception and Stereotyping: Simulation Using Distributed Representations in a Recurrent Connectionist Network 111
5 A Connectionist Approach to Causal Attribution 143
6 Personality as a Stable Cognitive-Affective Activation Network: Characteristic Patterns of Behavior Variation Emerge From a Stable Personality Structure 175
7 The Consonance Model of Dissonance Reduction 211
8 Toward an Integration of the Social and the Scientific: Observing, Modeling, and Promoting the Explanatory Coherence of Reasoning 245
9 Toward Computational Social Psychology: Cellular Automata and Neural Network Models of Interpersonal Dynamics 277
10 Attitudes, Beliefs, and Other Minds: Shared Representations in Self-Organizing Systems 313
Author Index 355
Subject Index 365
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