Agent-based modeling (ABM) is a powerful, simulation-modeling technique that has seen an uptick in the number of useful real-world applications in the last few years. In ABM, a system is modeled as a collection of autonomous decision-making entities called "agents.” Each agent individually assesses its situation and makes decisions on the basis of a set of rules. Agents may execute various behaviors appropriate for the system they represent—for example, producing, consuming, or selling. ABM is primarily used for simulating real-world systems, such as natural resource use, transportation, public health, and conflict. Decision makers increasingly demand support that covers a multitude of indicators that can only be dealt with ABM, especially those situations where human behavior is identified as a critical element. This book provides a timely overview of key ABM methodologies as well as a variety of empirical applications dealing with the most innovative approaches. It features...

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