Computational social psychology
著者
書誌事項
Computational social psychology
（Frontiers of social psychology / editors, Arie W. Kruglanski, Joseph P. Forgas）
Routledge, 2017
- : hard
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
Computational Social Psychology showcases a new approach to social psychology that enables theorists and researchers to specify social psychological processes in terms of formal rules that can be implemented and tested using the power of high speed computing technology and sophisticated software. This approach allows for previously infeasible investigations of the multi-dimensional nature of human experience as it unfolds in accordance with different temporal patterns on different timescales. In effect, the computational approach represents a rediscovery of the themes and ambitions that launched the field over a century ago.
The book brings together social psychologists with varying topical interests who are taking the lead in this redirection of the field. Many present formal models that are implemented in computer simulations to test basic assumptions and investigate the emergence of higher-order properties; others develop models to fit the real-time evolution of people's inner states, overt behavior, and social interactions. Collectively, the contributions illustrate how the methods and tools of the computational approach can investigate, and transform, the diverse landscape of social psychology.
目次
Preface. Overview. 1. Rethinking Human Experience: The Promise of Computational Social Psychology Robin R. Vallacher, Andrzej Nowak, and Stephen J. Read I. Intrapersonal Dynamics 2. Virtual Personalities: A Neural Network Model of the Structure and Dynamics of Personality Stephen J. Read, Vita Droutman, and Lynn C. Miller 3. Using Connectionist Models to Capture the Distinctive Psychological Structure of Impression Formation Brian M. Monroe, Tei Laine, Swati Gupta, and Ilya Farber 4. The Whole Elephant: Toward Psychological Integration of the Individual as a Complex System Jennifer Rose Talevich 5. Computational Modeling of Health Behavior Mark G. Orr and Daniel Chen II. Interpersonal Dynamics 6. Interaction Dominant Dynamics, Timescale Enslavement, and the Emergence of Social Behavior Brian A. Eiler, Rachel W. Kallen, and Michael J. Richardson 7. Computational Temporal Interpersonal Emotion Systems Emily A. Butler, Jinyan Guan, Andrew Predoehl, Ernesto Brau, Kyle Simek, and Kobus Barnard 8. Mapping Co-Regulation in Social Relations through Exploratory Topology Analysis Jonathan E. Butner, Arwen A. Behrends, and Brian R. Baucom 9. Dynamics of Synchrony and Joint Action Kerry L. Marsh 10. From Interaction to Synchronization in Social Relations Robin R. Vallacher and Andrzej Nowak III. Collective Dynamics 11. Simulating the Social Networks in Human Goal Striving James D. Westaby and DaHee Shon 12. Computational Models of Social Influence and Collective Behavior Robert J. MacCoun 13. Modeling Cultural Dynamics Yoshihisa Kashima, Michael Kirley, Alexander Stivala, and Garry Robins 14. Models Are Stupid, and We Need More of Them Paul E. Smaldino 15. Big Data in Psychological Research David Serfass, Andrzej Nowak, and Ryne Sherman 16. The Future of Computational Social Psychology Andrzej Nowak and Robin R. Vallacher
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