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Social‐Behavioral Modeling for Complex Systems

Overview of attention for book
Social‐Behavioral Modeling for Complex Systems
Wiley

Table of Contents

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    Book Overview
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    Chapter 1 Understanding and Improving the Human Condition: A Vision of the Future for Social-Behavioral Modeling
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    Chapter 2 Improving Social-Behavioral Modeling
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    Chapter 3 Ethical and Privacy Issues in Social-Behavioral Research
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    Chapter 4 Building on Social Science: Theoretic Foundations for Modelers
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    Chapter 5 How Big and How Certain? A New Approach to Defining Levels of Analysis for Modeling Social Science Topics
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    Chapter 6 Toward Generative Narrative Models of the Course and Resolution of Conflict
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    Chapter 7 A Neural Network Model of Motivated Decision-Making in Everyday Social Behavior
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    Chapter 8 Dealing with Culture as Inherited Information
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    Chapter 9 Social Media, Global Connections, and Information Environments: Building Complex Understandings of Multi-Actor Interactions
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    Chapter 10 Using Neuroimaging to Predict Behavior: An Overview with a Focus on the Moderating Role of Sociocultural Context
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    Chapter 11 Social Models from Non-Human Systems
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    Chapter 12 Moving Social-Behavioral Modeling Forward: Insights from Social Scientists
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    Chapter 13 Integrating Computational Modeling and Experiments: Toward a More Unified Theory of Social Influence
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    Chapter 14 Combining Data-Driven and Theory-Driven Models for Causality Analysis in Sociocultural Systems
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    Chapter 15 Theory-Interpretable, Data-Driven Agent-Based Modeling
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    Chapter 16 Bringing the Real World into the Experimental Lab: Technology-Enabling Transformative Designs
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    Chapter 17 Online Games for Studying Human Behavior
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    Chapter 18 Using Sociocultural Data from Online Gaming and Game Communities
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    Chapter 19 An Artificial Intelligence/Machine Learning Perspective on Social Simulation: New Data and New Challenges
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    Chapter 20 Social Media Signal Processing
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    Chapter 21 Evaluation and Validation Approaches for Simulation of Social Behavior: Challenges and Opportunities
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    Chapter 22 The Agent-Based Model Canvas: A Modeling Lingua Franca for Computational Social Science
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    Chapter 23 Representing Socio-Behavioral Understanding with Models
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    Chapter 24 Toward Self-Aware Models as Cognitive Adaptive Instruments for Social and Behavioral Modeling
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    Chapter 25 Causal Modeling with Feedback Fuzzy Cognitive Maps
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    Chapter 26 Simulation Analytics for Social and Behavioral Modeling
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    Chapter 27 Using Agent-Based Models to Understand Health-Related Social Norms
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    Chapter 28 Lessons from a Project on Agent-Based Modeling
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    Chapter 29 Modeling Social and Spatial Behavior in Built Environments: Current Methods and Future Directions
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    Chapter 30 Multi-Scale Resolution of Human Social Systems: A Synergistic Paradigm for Simulating Minds and Society
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    Chapter 31 Multi-formalism Modeling of Complex Social-Behavioral Systems
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    Chapter 32 Social-Behavioral Simulation: Key Challenges
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    Chapter 33 Panel Discussion: Moving Social-Behavioral Modeling Forward
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    Chapter 34 Human-Centered Design of Model-Based Decision Support for Policy and Investment Decisions
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    Chapter 35 A Complex Systems Approach for Understanding the Effect of Policy and Management Interventions on Health System Performance
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    Chapter 36 Modeling Information and Gray Zone Operations
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    Chapter 37 Homo Narratus (The Storytelling Species): The Challenge (and Importance) of Modeling Narrative in Human Understanding
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    Chapter 38 Aligning Behavior with Desired Outcomes: Lessons for Government Policy from the Marketing World
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    Chapter 39 Future Social Science That Matters for Statecraft
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    Chapter 40 Lessons on Decision Aiding for Social-Behavioral Modeling
Attention for Chapter 35: A Complex Systems Approach for Understanding the Effect of Policy and Management Interventions on Health System Performance
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