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Title Social-behavioral modeling for complex systems / editied by Paul K. Davis, Angela O'Mahony, Jonathan Pfautz
Published Hoboken, NJ : John Wiley & Sons, Inc., 2019
©2019
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Description 1 online resource (xliii, 947 pages)
Series Stevens Institute series on complex systems and enterprises
Stevens Institute series on complex systems and enterprises
Contents Cover; Title Page; Copyright; Contents; Foreword; List of Contributors; About the Editors; About the Companion Website; Part I Introduction and Agenda; Chapter 1 Understanding and Improving the Human Condition: A Vision of the Future for Social-Behavioral Modeling; Challenges; Challenge One: The Complexity of Human Issues; Challenge Two: Fragmentation; Empirical Observation; Empirical Experiments; Generative Simulation; Unification; Challenge Three: Representations; Challenge Four: Applications of Social-Behavioral Modeling; About This Book; Roadmap for the Book; References
Alternative Atomistic Theories of Individual BehaviorSocial Theories of Individual Behavior; Norms; Descriptive Norms; Norms as Social Expectation; Norms as Moral and Ethical Obligations; The Relationship between Normative and Rationalist Explanations of Behavior; Theories of Interaction; From Individual Behavior to Social Interaction; Social Dilemmas and Collective Decision-Making with Common Interests; Bargaining over Conflicting Interests; Social Interaction and the Dynamics of Beliefs; Social Interaction and the Dynamics of Identity and Culture; From Theory to Data and Data to Models
Chapter 2 Improving Social-Behavioral ModelingAspirations; Vignette 1; Vignette 2; Classes of Challenge; Inherent Challenges; Individual Cognition and Behavior; Social Systems as Complex Adaptive Systems (CAS); The Dynamic and Storytelling Character of People and Social Systems; Wicked Problems; Selected Specific Issues and the Need for Changed Practices; Background on Fragmentation of SB Theories; The Nature of Theory; Similarities and Differences; Rebalancing the Portfolio of Models and Methods; Confronting Uncertainty; Combination, Synthesis, and Integration
Families of Multiresolution, Multiperspective ModelsComposability; Connecting Theory with Evidence; Rethinking Model Validity; The Five Dimensions of Model Validity; Assessing a Model's Validity in a Context; Some General Criteria for Validation; Strategy for Moving Ahead; Tightening the Theory-Modeling-Experimentation Research Cycle; Improving Theory and Related Modeling; Social-Behavioral Laboratories; Conclusions; Acknowledgments; References; Chapter 3 Ethical and Privacy Issues in Social-Behavioral Research; Improved Notice and Choice; Diagnosis; Prescriptions
Usable and Accurate Access ControlDiagnosis; Prescriptions; Anonymization; Diagnosis; Prescriptions; Avoiding Harms by Validating Algorithms and Auditing Use; Diagnosis; Prescriptions; Challenge and Redress; Diagnosis; Prescriptions; Deterrence of Abuse; Diagnosis; Prescriptions; And Finally Thinking Bigger About What Is Possible; References; Part II Foundations of Social-Behavioral Science; Chapter 4 Building on Social Science: Theoretic Foundations for Modelers; Background; Atomistic Theories of Individual Behavior; The Belief-Desire Model; Desires; Beliefs; Cognition
Summary This volume describes frontiers in social-behavioral modeling for contexts as diverse as national security, health, and on-line social gaming. Recent scientific and technological advances have created exciting opportunities for such improvements. However, the book also identifies crucial scientific, ethical, and cultural challenges to be met if social-behavioral modeling is to achieve its potential. Doing so will require new methods, data sources, and technology. The volume discusses these, including those needed to achieve and maintain high standards of ethics and privacy. The result should be a new generation of modeling that will advance science and, separately, aid decision-making on major social and security-related subjects despite the myriad uncertainties and complexities of social phenomena. Intended to be relatively comprehensive in scope, the volume balances theory-driven, data-driven, and hybrid approaches. The latter may be rapidly iterative, as when artificial-intelligence methods are coupled with theory-driven insights to build models that are sound, comprehensible and usable in new situations. With the intent of being a milestone document that sketches a research agenda for the next decade, the volume draws on the wisdom, ideas and suggestions of many noted researchers who draw in turn from anthropology, communications, complexity science, computer science, defense planning, economics, engineering, health systems, medicine, neuroscience, physics, political science, psychology, public policy and sociology. In brief, the volume discusses: Cutting-edge challenges and opportunities in modeling for social and behavioral science Special requirements for achieving high standards of privacy and ethics New approaches for developing theory while exploiting both empirical and computational data Issues of reproducibility, communication, explanation, and validation Special requirements for models intended to inform decision making about complex social systems
Bibliography Includes bibliographical references and index
Notes Online resource; title from digital title page (viewed on April 04, 2019)
Subject Collective behavior -- Simulation methods
Social psychology -- Data processing
System analysis
PSYCHOLOGY -- Social Psychology.
Social psychology -- Data processing.
System analysis.
Form Electronic book
Author Davis, Paul K., 1943- editor
O'Mahony, Angela, editor
Pfautz, Jonathan, editor
LC no. 2018047389
ISBN 1119484979
1119484987
1119485002
9781119484974
9781119484981
9781119485001