EPSCoR - Alaska Adapting to Changing Environments

EPSCoR - Alaska Adapting to Changing Environments

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Geometry of the behavioral spaces: A computational approach to analysis and understanding the agent based models and agent behaviors.

Systems with non-linear dynamics frequently exhibit emergent system behavior, which is important to find and specify rigorously to understand the nature of the modeled phenomena. Through this analysis, it is possible to characterize phenomena such as how systems assemble or dissipate and what behaviors lead to specific final system configurations. Agent Based Modeling (ABM) is one of the modeling techniques used to study the interaction dynamics between a system's agents and its environment. Although the methodology of ABM construction is well understood and practiced, there are no computational, statistically rigorous, comprehensive tools to evaluate an ABM's execution. Often, a human has to observe an ABM's execution in order to analyze how the ABM functions, identify the emergent processes in the agent's behavior, or study a parameter's effect on the system-wide behavior. This paper introduces a new statistically based framework to automatically analyze agents' behavior, identify common system-wide patterns, and record the probability of agents changing their behavior from one pattern of behavior to another. We use network based techniques to analyze the landscape of common behaviors in an ABM's execution. Finally, we test the proposed framework with a series of experiments featuring increasingly emergent behavior. The proposed framework will allow computational comparison of ABM executions, exploration of a model's parameter configuration space, and identification of the behavioral building blocks in a model's dynamics.

Data and Resources

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Status: Complete
Type: Project
Data Types: Report
Primary Contact
Clucas, Tania
Email: thclucas@alaska.edu
Primary Agency
EPSCoR - Alaska Adapting to Changing Environments

Funding Agency
EPSCoR - Alaska Adapting to Changing Environments

Other Agencies
National Science Foundation

ISO Topics


Direct Record Link
  • 01c8ceef3d596f40f05bf496ca00d929
    Published by Lisa
    2016-11-17 13:36:47 -0900
  • 01c8ceef3d596f40f05bf496ca00d929
    Updated by Lisa
    2016-11-17 13:36:10 -0900
  • A01710a84bb2b48878decca075ee597f
    New record created
    2016-11-10 15:55:33 -0900