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 conflictsâincluding institution building coalition formation adaptive learning and the potential for future conflictâand conflict resolution based on the long-term viability of the actorsâ 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. . Language: English