ABM - Agent Based Modeling (ABM) Stephen Kinsel What is...

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Unformatted text preview: Agent Based Modeling (ABM) Stephen Kinsel What is ABM? Why use ABM? Applications Examples Good Modeling Practices Issues Future of ABM Outline What is ABM? First: What is an agent? An entity that functions continuously and autonomously in an environment in which other processes take place and other agents exist (Shoham) General Characteristics: Autonomy Pro-activeness Reactivity Social Ability What is ABM? Simulation modeling technique where a system is modeled as a collection of agents and the relationships between them. Agents individually asses its situation in the environment and make decisions on the basis of a set of rules.- Bonabeau Agent Types (DeLaurentis) Agent Types in an Example Traffic Control Reactive: Police (enforce laws of road) Info-gathering: Media (informs the public of traffic and accidents in major areas) Autonomous: Disruptors (weather / accidents) Goal-based: City Planners (would like the least number of accidents and greatest amount of flow through parts of town) Adaptive: Drivers (may avoid roads that are known to be overcrowded during certain times of day) Utility: Drivers (would like to minimize drive time / distance) Why Use ABM? Captures Emergent Phenomena As the components of a system interact with each other, and influence each other through these interactions, the system as a whole exhibits emergent behavior (Roetzheim) This characteristic makes the output of a system difficult to understand and predict Emergence Example...
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ABM - Agent Based Modeling (ABM) Stephen Kinsel What is...

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