Computational Social Psychology

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agent-based modeling
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Andrew Predoehl
Andrzej Nowak
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Big Data Approach
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Cellular Automata
collective decision making
collective dynamics
Common Control Parameters
complex dynamical systems
complex systems analysis
Computational models
Computational Researchers
Computational Social Psychology
connectionist models
cultural dynamics
cultural evolution modeling
DaHee Shon
Daniel Chen
David Serfass
Emily A. Butler
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Ernesto Brau
exploratory topology analysis
Garry Robins
Goal Striving
goals
health behavior
Homeostatic Set Point
Ilya Farber
impression formation
In-phase Synchrony
Interaction Dominant Dynamical
interpersonal dynamics
interpersonal emotions
Interpersonal Synchronization
intrapersonal dynamics
James D. Westaby
Jennifer Rose Talevich
Jinyan Guan
Jonathan E. Butner
Kerry L. Marsh
Kobus Barnard
KT Model
Kyle Simek
Large Scale Social Networks
LCS
LCS Model
Lynn C. Miller
Mark G. Orr
Michael J. Richardson
Michael Kirley
neural network simulation
neural networks
norm enforcement
norm signaling
Paul E. Smaldino
Personality Related Behavior
psychological organization
Rachel W. Kallen
real-time psychological process modeling
Recurrent Neural Network
Research Assistants Rate
Robert J. MacCoun
Ryne Sherman
SDS
SDS Approach
social cooperation
social identity
social influence
social network dynamics
social networks
social psychology
social simulations
Stephen J. Read
Strong Mutual Influence
Swati Gupta
Tei Laine
Vice Versa
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White Cells
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Product details

  • ISBN 9781138951648
  • Weight: 680g
  • Dimensions: 152 x 229mm
  • Publication Date: 01 Jun 2017
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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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.

Robin R. Vallacher is professor of Psychology at Florida Atlantic University, a Research Associate in the Center for Complex Systems, University of Warsaw, Poland, and a Research Affiliate in the Advanced Consortium on Cooperation, Conflict, and Complexity at Columbia University. He has been a visiting scholar at University of Texas at Austin, University of Bern (Switzerland), Max Planck Institute for Psychological Research (Germany), and University of Montpellier (France). Dr. Vallacher has authored or edited seven professional texts, and has published over 100 book chapters and journal articles on a wide range of topics in social psychology, including self-concept, self-regulation, social judgment, close relationships, prejudice and discrimination, sport psychology, social justice, and intergroup conflict. In recent years, he and his colleagues have adapted concepts and methods from the study of nonlinear dynamical systems in the natural sciences to the investigation of personal, interpersonal, and societal processes.

Stephen J. Read is professor of Psychology at the University of Southern California, head of the social psychology area, and a Fellow of the Association for Psychological Science and the Society for Experimental Social Psychology. Dr. Read has edited three books and published over 100 journal articles and book chapters on person perception, causal reasoning, attachment theory, decision-making, use of interactive media (DVD and game) for changing risky sexual behavior, personality, and the neurobiology of risky decision-making. He has developed and published neural network models of person perception, causal reasoning, cognitive dissonance, personality and motivation, and risky decision-making. He has also worked on computational models of personality in intelligent agents and models of the role of narrative representations in military decision-making. Recently, he has focused on integrating work on the neurobiological bases of risky decision-making with neural network models of the neural systems involved in risky decision-making.

Andrzej Nowak is a professor of psychology at Florida Atlantic University, University of Warsaw, Poland, where he directs the Center for Complex Systems, and Warsaw University of Humanities and Social Sciences. He is also a Fellow at the European Center for Living Technologies, and a Research Affiliate in the Advanced Consortium on Cooperation, Conflict, and Complexity at Columbia University. Dr. Nowak has authored or edited 16 professional texts, and has published over 100 book chapters and journal articles on a wide range of topics in social psychology, including social influence, social change, self-concept, self-regulation, social judgment, sport psychology, intergroup conflict, and psychological aspects of new media. Working with his colleagues, he has adapted concepts and methods from the study of complex systems and nonlinear dynamics in the natural sciences to the investigation of personal, interpersonal, and societal processes. He publishes in psychology, physics, and interdisciplinary journals.