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Interdisciplinary Applications of Agent-Based Social Simulation and Modeling

Book Description

Social simulation can be a difficult discipline to encompass fully. There are many methods, models, directions, and theories that can be discussed and applied to various social sciences. Anthropology, sociology, political science, economy, government, and management can all benefit from social simulation. Interdisciplinary Applications of Agent-Based Social Simulation and Modeling aims to bring a different perspective to this interdisciplinary topic. This book presents current discussions and new insights on social simulation as a whole, focusing on its dangers, pitfalls, deceits, and challenges. This book is an essential reference for researchers in this field, professionals using social simulation, and even students studying this discipline.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Book Series
  5. Editorial Advisory Board and List of Reviewers
    1. List of Reviewers
  6. Foreword
    1. REFERENCES
  7. Preface
  8. Acknowledgment
  9. Section 1: Current Discussions on Agent-Based Social Simulation and Modeling
    1. Chapter 1: Making Visible “The Invisible Hand”
      1. ABSTRACT
      2. 1. THE SCIENTIFIC REVOLUTION OF COMPUTER-BASED SOCIAL SIMULATION
      3. 2. THE THEORETICAL MISSION OF SOCIAL SIMULATION
      4. 3. THE PRACTICAL/POLITICAL OPPORTUNITY OF SOCIAL SIMULATION
      5. 4. AN EVEN MORE ADVANCED FORMULA: EMPOWERING PEOPLE
      6. 5. FINAL REMARKS: YOUTOPIA?
      7. REFERENCES
      8. KEY TERMS AND DEFINITIONS
      9. ENDNOTES
    2. Chapter 2: On Agent Interactions Governed by Morality
      1. ABSTRACT
      2. INTRODUCTION
      3. MORALITY ISSUES
      4. AROUND THE BEHAVIOUR OF A MORAL AGENT
      5. A SCENARIO TO THINK ABOUT
      6. RESULTS SO FAR
      7. DESIGN OF THE AGENT DECISION MACHINERY
      8. MORAL SIGNATURE
      9. CONCLUSION AND FURTHER RESEARCH
      10. ACKNOWLEDGMENT
      11. REFERENCES
      12. KEY TERMS AND DEFINITIONS
    3. Chapter 3: Scale and Topology Effects on Agent-Based Simulation
      1. ABSTRACT
      2. INTRODUCTION
      3. RELATED WORK
      4. TRUST AND COALITION MODEL
      5. EXPERIMENTS
      6. ANALYSIS
      7. CONCLUSION
      8. ACKNOWLEDGMENT
      9. REFERENCES
      10. KEY TERMS AND DEFINITIONS
    4. Chapter 4: Exploring Emergence within Social Systems with Agent Based Models
      1. ABSTRACT
      2. INTRODUCTION
      3. EMERGENT BEHAVIOUR WITHIN AGENT BASED MODELS
      4. CONCLUSION
      5. ACKNOWLEDGMENT
      6. REFERENCES
      7. KEY TERMS AND DEFINITIONS
    5. Chapter 5: Usefulness of Agent-Based Simulation in Testing Collective Decision-Making Models
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. COLLECTIVE DECISION-MAKING MODELS (CDMM)
      4. 3. INTEGRATING REPLICATIONS OF CDMM INTO AN ABM FRAMEWORK
      5. 4. RESEARCH DESIGN
      6. 5. CASE STUDY: LOCAL AND REGIONAL DEVELOPMENT AGENCIES (LRDA)
      7. 6. CASE STUDY 2: EU DATASET
      8. 7. DISCUSSION AND RECOMMENDATIONS
      9. 8. FINAL REMARKS FOR FUTURE RESEARCH
      10. REFERENCES
      11. ADDITIONAL READING
      12. KEY TERMS AND DEFINITIONS
      13. ENDNOTES
    6. Chapter 6: Analysing Simulation Results Statistically
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. EXAMPLES
      5. FUTURE RESEARCH DIRECTIONS
      6. CONCLUSION
      7. ACKNOWLEDGMENT
      8. REFERENCES
      9. ADDITIONAL READING
      10. KEY TERMS AND DEFINITIONS
    7. Chapter 7: Large-Scale Social Simulation, Dealing with Complexity Challenges in High Performance Environments
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND ON PARALLEL AND DISTRIBUTED SIMULATION
      4. LARGE-SCALE SOCIAL SIMULATION
      5. CONCLUSION
      6. ACKNOWLEDGMENT
      7. REFERENCES
      8. ADDITIONAL READING
      9. KEY TERMS AND DEFINITIONS
      10. ENDNOTES
  10. Section 2: Research on Agent-Based Models for Social Simulation
    1. Chapter 8: Playing with Ambiguity
      1. ABSTRACT
      2. INTRODUCTION
      3. FUTURE RESEARCH DIRECTIONS
      4. CONCLUSION
      5. REFERENCES
      6. ADDITIONAL READING
      7. KEY TERMS AND DEFINITIONS
      8. ENDNOTES
      9. APPENDIX
    2. Chapter 9: From Meso Decisions to Macro Results
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. COMPUTATIONAL AGENT-BASED MODELS AND DIFFUSION
      4. 3. A CONCEPTUAL FRAMEWORK OF POLICY DIFFUSION
      5. 4. A COMPUTATIONAL MODEL OF POLICY DIFFUSION
      6. 5. RESULTS
      7. 6. FUTURE RESEARCH DIRECTIONS
      8. 7. CONCLUSION
      9. ACKNOWLEDGMENT
      10. REFERENCES
      11. ADDITIONAL READING
      12. KEY TERMS AND DEFINITIONS
      13. ENDNOTES
    3. Chapter 10: Multi-Agent Economically Motivated Decision-Making
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. RELATED WORK
      4. 3. THE ITEM-GAME AGENCY
      5. 4. ECONOMICALLY-MOTIVATED (INDIVIDUAL AND SOCIAL) DECISION-MAKING
      6. 5. CONCLUSION AND FUTURE WORK
      7. REFERENCES
      8. KEY TERMS AND DEFINITIONS
    4. Chapter 11: A Unified Framework for Traditional and Agent-Based Social Network Modeling
      1. ABSTRACT
      2. INTRODUCTION
      3. AGENT BASED MODELING FOR SOCIAL SCIENCES
      4. AGENT BASED MODELING FOR SOCIAL NETWORK SIMULATIONS
      5. SOCIAL NETWORKING PLATFORMS
      6. CONCLUSION
      7. REFERENCES
      8. KEY TERMS AND DEFINITIONS
    5. Chapter 12: Social Space in Simulation Models
      1. ABSTRACT
      2. INTRODUCTION
      3. RELATED WORK
      4. MULTI-LAYER SOCIAL SPACES AND INTERACTION MODELS
      5. MODEL OF EXPERIMENTS AND RESULTS
      6. CONCLUSION AND FUTURE RESEARCH DIRECTIONS
      7. REFERENCES
      8. ADDITIONAL READING
      9. KEY TERMS AND DEFINITIONS
  11. Section 3: Developing Reliable Interdisciplinary Applications of Agent-Based Social Simulation and Modeling
    1. Chapter 13: Simulating an Incentive Framework for Scientific Production by Means of Adaptive Agents
      1. ABSTRACT
      2. INTRODUCTION
      3. OPERANT CONDITIONING AND HUMAN BEHAVIOR DYNAMICS
      4. SIMULATING INCENTIVES
      5. EXPERIMENTAL RESULTS
      6. FUTURE RESEARCH DIRECTIONS
      7. FINAL REMARKS
      8. REFERENCES
      9. KEY TERMS AND DEFINITIONS
      10. ENDNOTES
    2. Chapter 14: Agent-Based Simulation of Electric Energy Consumers
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. SIMULATION TOOL
      5. FUTURE RESEARCH DIRECTIONS
      6. FINAL REMARKS
      7. REFERENCES
      8. ADDITIONAL READING
      9. KEY TERMS AND DEFINITIONS
    3. Chapter 15: Agents' Risk Relations in a Strategic Tax Reporting
      1. ABSTRACT
      2. INTRODUCTION
      3. REVISITING THE LITERATURE
      4. STRATEGIC BEHAVIOUR AND RISK ON TAX EVASION
      5. FUTURE RESEARCH DIRECTIONS
      6. CONCLUSION
      7. REFERENCES
      8. ADDITIONAL READING SECTION
      9. KEY TERMS AND DEFINITIONS
    4. Chapter 16: Knowledge-Based Externalities and Geographical Clusters
      1. ABSTRACT
      2. INTRODUCTION
      3. THEORETICAL BACKGROUND
      4. THE AGENT-BASED MODEL OF GEOGRAPHICAL CLUSTERING
      5. SIMULATION RESULTS
      6. CONCLUSION
      7. REFERENCES
      8. ADDITIONAL READING
      9. KEY TERMS AND DEFINITION
      10. ENDNOTES
    5. Chapter 17: Towards a Multi-Agent-Based Tool for the Analysis of the Social Production and Management Processes in an Urban Ecosystem
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. THE SOCIAL PRODUCTION AND MANAGEMENT PROCESSES IN AN URBAN ECOSYSTEM
      4. 3. THE URBAN VEGETABLE GARDEN OF THE SAN JERÓNIMO PARK (SJVG) (SEVILLE/SPAIN)
      5. 4. THE JACAMO FRAMEWORK AND RELATED TOOLS
      6. 5. MODELING THE SJVG SOCIAL ORGANIZATION IN JACAMO: THE INTEGRATION OF ORGANIZATIONAL, REGULATORY, COMMUNICATION AND PHYSICAL ARTIFACTS
      7. 6. RELATED WORK AND ADDITIONAL READING
      8. 7. CONCLUSION
      9. REFERENCES
      10. KEY TERMS AND DEFINITIONS
      11. ENDNOTES
    6. Chapter 18: Building ABMs to Control the Emergence of Crisis Analyzing Agents' Behavior
      1. ABSTRACT
      2. INTRODUCTION: LITERATURE REVIEW
      3. FROM THE SLAPP PROTOCOL TO A CONCRETE APPLICATION
      4. A QUITE LONG CONCLUSION: INTEGRATING DIFFERENT TECHNIQUES
      5. REFERENCES
      6. ADDITIONAL READING
      7. KEY TERMS AND DEFINITIONS
      8. ENDNOTES
  12. Compilation of References
  13. About the Contributors