Agent-Based Modeling (ABM)
Conceptually, in ABM you give instructions to virtual agents that allow the agents to interact. Agents can be animals, tanks, parcels, delivery trucks, or any discrete object. From the resulting decisions and actions of the agents, patterns are created in space and time. Unlike many other modeling techniques that quantify and then re-create the patterns, agent-based models explore the causes of the patterns; the patterns are emergent properties from the individual decisions of the agents. Agent-based modeling, combined with spatial data, allows you to address a wide array of problems such as the following: Developing corridor connectivity networks for wildlife movement […]
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