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Agent-Based Modeling of Social Conflict - From Mechanisms to Complex Behavior (Paperback, 1st ed. 2018)
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Agent-Based Modeling of Social Conflict - From Mechanisms to Complex Behavior (Paperback, 1st ed. 2018)
Series: SpringerBriefs in Complexity
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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
complexbehavior 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.
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