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E-grāmata: Social Connectionism: A Reader and Handbook for Simulations

(Department of Psychology, Vrije Universiteit Brussel, Belgium)
  • Formāts: 536 pages
  • Izdošanas datums: 07-Mar-2013
  • Izdevniecība: Psychology Press Ltd
  • Valoda: eng
  • ISBN-13: 9781134956135
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  • Formāts: 536 pages
  • Izdošanas datums: 07-Mar-2013
  • Izdevniecība: Psychology Press Ltd
  • Valoda: eng
  • ISBN-13: 9781134956135
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Many of our thoughts and decisions occur without us being conscious of them taking place; connectionism attempts to reveal the internal hidden dynamics that drive the thoughts and actions of both individuals and groups. Connectionist modeling is a radically innovative approach to theorising in psychology, and more recently in the field of social psychology. The connectionist perspective interprets human cognition as a dynamic and adaptive system that learns from its own direct experiences or through indirect communication from others.

Social Connectionism offers an overview of the most recent theoretical developments of connectionist models in social psychology. The volume is divided into four sections, beginning with an introduction and overview of social connectionism. This is followed by chapters on causal attribution, person and group impression formation, and attitudes. Each chapter is followed by simulation exercises that can be carried out using the FIT simulation program; these guided exercises allow the reader to reproduce published results.

Social Connectionism will be invaluable to graduate students and researchers primarily in the field of social psychology, but also in cognitive psychology and connectionist modeling.

Recenzijas

"An excellent and timely overview of one of the most important theoretical developments in social cognition in the past years" - Gerd Bohner, University of Bielefeld, Germany "An excellent and timely overview of one of the most important theoretical developments in social cognition in the past years" - Gerd Bohner, University of Bielefeld, Germany

Praise for the FIT program: "My students are absolute beginners with respect to running a simulation, but have mastered the FIT2 program pretty quickly. Okay, "mastered" may be a slight exaggeration, but they learned pretty quickly how to use it. The program is a very valuable tool!" - Frank Siebler, University of Bielefeld, Germany

List of tables ix
List of figures xi
About the author xvi
Acknowledgements xvii
Copyright permissions xviii
PART 1 Basics 1
1 Introduction and overview
3
FRANK VAN OVERWALLE
2 Connectionist basics
14
TIM VANHOOMISSEN AND FRANK VAN OVERWALLE
3 Feedforward and recurrent connectionist networks, and their emergent properties
32
FRANK VAN OVERWALLE AND TIM VANHOOMISSEN
PART 2 Causal attribution 63
4 When more observations are better than less: a connectionist account of the acquisition of causal strength
65
FRANK VAN OVERWALLE AND DIRK VAN ROOY
5 An autoassociative model of causal reasoning and causal learning: reply to Van Overwalle's (1998) critique of Read and Marcus-Newhall (1993)
94
STEPHEN J. READ AND JORGE A. MONTOYA
6 When one explanation is enough: a connectionist view on the fundamental attribution bias
122
FRANK VAN OVERWALLE
PART 3 Person and group impression formation 157
7 Knowledge acquisition, accessibility, and use in person perception and stereotyping: simulation with a recurrent connectionist network
159
ELIOT R. SMITH AND JAMIE DECOSTER
8 A recurrent connectionist model of person impression formation
190
FRANK VAN OVERWALLE AND CHRISTOPHE LABIOUSE
9 A recurrent connectionist model of group biases
252
DIRK VAN ROOY, FRANK VAN OVERWALLE, TIM VANHOOMISSEN, CHRISTOPHE LABIOUSE AND ROBERT FRENCH
10 Subtyping versus bookkeeping in stereotype learning and change: connectionist simulations and empirical findings
306
SARAH QUELLER AND ELIOT R. SMITH
PART 4 Attitudes 343
11 A connectionist model of attitude formation and change
345
FRANK VAN OVERWALLE AND FRANK SIEBLER
Appendix: FIT2 for Connectionist and Algebraic Modeling 425
References 465
Author index 489
Subject index 496


Van Overwalle, Frank