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Computational Social Psychology PDF

398 Pages·2017·5.07 MB·English
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COMPUTATIONAL SOCIAL PSYCHOLOGY 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 multidimensional nature of human experience as it unfolds in accordance with different temporal patterns on different timescales. In effect, the computational approach represents a redis- covery of the themes and ambitions that launched the field over a century ago. This 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 land- scape 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 sci- ences 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 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 pub- lished over 100 book chapters and journal articles on a wide range of topics in social psychology, including social influence, social change, self-concept, self-r egulation, 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. Frontiers of Social Psychology Series Editors: Arie W. Kruglanski, University of Maryland at College Park Joseph P. Forgas, University of New South Wales Frontiers of Social Psychology is a series of domain-specific handbooks. Each volume provides readers with an overview of the most recent theoretical, methodological, and practical developments in a substantive area of social psychology, in greater depth than is possible in general social psychology handbooks. The editors and contributors are all internationally renowned scholars whose work is at the cutting edge of research. Scholarly, yet accessible, the volumes in the Frontiers series are an essential resource for senior undergraduates, postgraduates, researchers, and practitioners, and are suitable as texts in advanced courses in specific subareas of social psychology. Published Titles Social Metacognition, Briñol & DeMarree Goal-Directed Behavior, Aarts & Elliot Social Judgment and Decision Making, Krueger Intergroup Conflicts and Their Resolution, Bar-Tal Social Motivation, Dunning Social Cognition, Strack & Förster Social Psychology of Consumer Behavior, Wänke Forthcoming Titles For continually updated information about published and forthcoming titles in the Frontiers of Social Psychology series, please visit: https://www.routledge.com/ psychology/series/FSP COMPUTATIONAL SOCIAL PSYCHOLOGY Edited by Robin R. Vallacher, Stephen J. Read, and Andrzej Nowak First published 2017 by Routledge 711 Third Avenue, New York, NY 10017 and by Routledge 2 Park Square, Milton Park, Abingdon, Oxon, OX14 4RN Routledge is an imprint of the Taylor & Francis Group, an informa business  2017 Taylor & Francis The right of Robin R. Vallacher, Stephen J. Read, and Andrzej Nowak to be identified as the authors of the editorial material, and of the authors for their individual chapters, has been asserted in accordance with sections 77 and 78 of the Copyright, Designs and Patents Act 1988. All rights reserved. No part of this book may be reprinted or reproduced or utilized in any form or by any electronic, mechanical, or other means, now known or hereafter invented, including photocopying and recording, or in any information storage or retrieval system, without permission in writing from the publishers. Trademark notice: Product or corporate names may be trademarks or registered trademarks, and are used only for identification and explanation without intent to infringe. Library of Congress Cataloging in Publication Data Names: Vallacher, Robin R., 1946- editor. | Read, Stephen J., editor. | Nowak, Andrzej (Andrzej Krzysztof), editor. Title: Computational social psychology / edited by Robin R. Vallacher, Stephen J. Read, and Andrzej Nowak. Description: New York : Routledge, 2017. | Series: Frontiers of social psychology | Includes bibliographical references and index. Identifiers: LCCN 2017000667| ISBN 9781138951648 (hb : alk. paper) | ISBN 9781138951655 (pb : alk. paper) | ISBN 9781315173726 (ebook) Subjects: LCSH: Social psychology. Classification: LCC HM1033 .C636 2017 | DDC 302—dc23 LC record available at https://lccn.loc.gov/2017000667 ISBN: 978-1-138-95164-8 (hbk) ISBN: 978-1-138-95165-5 (pbk) ISBN: 978-1-315-17372-6 (ebk) Typeset in Bembo by Swales & Willis Ltd, Exeter, Devon, UK CONTENTS List of Contributors x Preface xii Acknowledgments xvi Overview 1 1 Rethinking Human Experience: The Promise of Computational Social Psychology 3 Robin R. Vallacher, Andrzej Nowak, and Stephen J. Read PART I Intrapersonal Dynamics 13 2 Virtual Personalities: A Neural Network Model of the Structure and Dynamics of Personality 15 Stephen J. Read, Vita Droutman, and Lynn C. Miller 3 Using Connectionist Models to Capture the Distinctive Psychological Structure of Impression Formation 38 Brian M. Monroe, Tei Laine, Swati Gupta, and Ilya Farber viii Contents 4 The Whole Elephant: Toward Psychological Integration of the Individual as a Complex System 61 Jennifer Rose Talevich 5 Computational Modeling of Health Behavior 81 Mark G. Orr and Daniel Chen PART II Interpersonal Dynamics 103 6 Interaction-Dominant Dynamics, Timescale Enslavement, and the Emergence of Social Behavior 105 Brian A. Eiler, Rachel W. Kallen, and Michael J. Richardson 7 Computational Temporal Interpersonal Emotion Systems 127 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 144 Jonathan E. Butner, Arwen A. Behrends, and Brian R. Baucom 9 Dynamics of Synchrony and Joint Action 178 Kerry L. Marsh 10 From Interaction to Synchronization in Social Relations 208 Robin R. Vallacher and Andrzej Nowak PART III Collective Dynamics 229 11 Simulating the Social Networks in Human Goal Striving 231 James D. Westaby and DaHee Shon 12 Computational Models of Social Influence and Collective Behavior 258 Robert J. MacCoun Contents ix 13 Modeling Cultural Dynamics 281 Yoshihisa Kashima, Michael Kirley, Alexander Stivala, and Garry Robins PART IV Transforming Social Psychology 309 14 Models Are Stupid, and We Need More of Them 311 Paul E. Smaldino 15 Big Data in Psychological Research 332 David Serfass, Andrzej Nowak, and Ryne Sherman 16 The Future of Computational Social Psychology 349 Andrzej Nowak and Robin R. Vallacher Index 368

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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. Th
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