Conflict is a major facet of many environmental challenges of our
time. However, growing conflict complexity makes it more difficult
to identify win-win strategies for sustainable conflict resolution.
Innovative methods are needed to help predict, understand, and
resolve conflicts in cooperative ways. Agent-Based Modeling of
Environmental Conflict and Cooperation examines computer modeling
techniques as an important set of tools for assessing environmental
and resource-based conflicts and, ultimately, for finding pathways
to conflict resolution and cooperation. This book has two major
goals. First, it argues that complexity science can be a unifying
framework for professions engaged in conflict studies and
resolution, including anthropology, law, management, peace studies,
urban planning, and geography. Second, this book presents an
innovative framework for approaching conflicts as complex adaptive
systems by using many forms of environmental analysis, including
system dynamics modeling, agent-based modeling, evolutionary game
theory, viability theory, and network analysis. Known as VIABLE
(Values and Investments from Agent-Based interaction and Learning
in Environmental systems), this framework allows users to model
advanced facets of conflicts-including institution building,
coalition formation, adaptive learning, and the potential for
future conflict-and conflict resolution based on the long-term
viability of the actors' strategies. Written for scholars,
students, practitioners, and policy makers alike, this book offers
readers an extensive introduction to environmental conflict
research and resolution techniques. As the result of decades of
research, the text presents a strong argument for conflict modeling
and reviews the most popular and advanced techniques, including
system dynamics modeling, agent-based modeling, and participatory
modeling methods. This indispensable guide uses NetLogo, a widely
used and free modeling software package, to implement the VIABLE
modeling approach in three case study applications around the
world. Readers are invited to explore, adapt, modify, and expand
these models to conflicts they hope to better understand and
resolve.
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