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Agent-Based Modeling of Social Conflict

From Mechanisms to Complex Behavior

  • Carlos M. Lemos

Part of the SpringerBriefs in Complexity book series (BRIEFSCOMPLEXITY)

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Carlos M. Lemos
    Pages 1-6
  3. Carlos M. Lemos
    Pages 7-16
  4. Carlos M. Lemos
    Pages 51-63
  5. Carlos M. Lemos
    Pages 65-111
  6. Carlos M. Lemos
    Pages 113-116
  7. Back Matter
    Pages 117-120

About this book

Introduction

This Brief revisits and extends Epstein’s classical agent-based model of civil violence by considering important mechanisms suggested by social conflict theories. Among them are: relative deprivation as generator of hardship, generalized vanishing of the risk perception (‘massive fear loss’) when the uprisings surpass a certain threshold, endogenous legitimacy feedback, and network influence effects represented by the mechanism of dispositional contagion. The model is explored in a set of computer experiments designed to provide insight on how mechanisms lead to increased complexity of the solutions. The results of the simulations are compared with statistical analyses of estimated size, duration and recurrence of large demonstrations and riots for eight African countries affected by the “Arab Spring,” based on the Social Conflict Analysis Database.

It is shown that the extensions to Epstein’s model proposed herein lead to increased “generative capacity” of the agent-based model (i.e. a richer set of meaningful qualitative behaviors) as well the identification of key mechanisms and associated parameters with tipping points. The use of quantitative information (international indicators and statistical analyses of conflict events) allows the assessment of the plausibility of input parameter values and simulated results, and thus a better understanding of the model’s strengths and limitations.

The contributions of the present work for understanding how mechanisms of large scale conflict lead to complex
behavior include a new form of the estimated arrest probability, a simple representation of political vs economic deprivation with a parameter which controls the `sensitivity' to value, endogenous legitimacy feedback, and the effect of network influences (due to small groups and “activists”). In addition, the analysis of the Social Conflict Analysis Database provided a quantitative description of the impact of the “Arab Spring” in several countries focused on complexity issues such as peaceful vs violent, spontaneous vs organized, and patterns of size, duration and recurrence of conflict events in this recent and important large-scale conflict process. This book will appeal to students and researchers working in these computational social science subfields.

Keywords

social simulation agent-based modeling mechanisms of large scale conflict complex social behaviors Arab Spring social conflict analysis social conflict theories Social Conflict Analysis Database civil violence modeling epstein's agent-based model

Authors and affiliations

  • Carlos M. Lemos
    • 1
  1. 1.Department of Religion, Philosophy and HistoryUniversity of AgderKristiansandNorway

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-67050-8
  • Copyright Information The Editor(s) (if applicable) and The Author(s) 2018
  • Publisher Name Springer, Cham
  • eBook Packages Social Sciences
  • Print ISBN 978-3-319-67049-2
  • Online ISBN 978-3-319-67050-8
  • Series Print ISSN 2191-5326
  • Series Online ISSN 2191-5334
  • Buy this book on publisher's site