Computational Social Psychology
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Computational Social Psychology showcases a new approach to social psychology that enables theorists and researchers to implemented and test models of processes using the power of high speed computing technology and sophisticated software.

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Produktbeschreibung
Computational Social Psychology showcases a new approach to social psychology that enables theorists and researchers to implemented and test models of processes using the power of high speed computing technology and sophisticated software.
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Autorenporträt
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.