Analysis Methods of Agent Behavior and Its Interpretation in a Case of Rescue Simulations

  • Tomoichi Takahashi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5399)


The agent-based approach has been proved to be useful for the modeling phenomena of traditional social fields. In order to apply agent-based simulation results to practical usages, it is necessary to show potential users the validity of the simulation outputs that arise out of the agents’ behaviors. In cases that involve human actions, it is difficult to obtain sufficient amounts of data on real cases or experimental data to validate the simulation results.

In this paper, we review the metrics that have been used to evaluate rescue agents in the Rescue Simulation Agent competition and propose a method to analyze the simulation output by presenting the agent behavior with a probability model. We present that the analysis results of the method are comparable to a human-readable interpretation and with task-dependent knowledge and discuss its applicability to real-world cases.


Multi Agent System Agent Behavior Stochastic Matrix Rescue Agent Social Simulation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Tomoichi Takahashi
    • 1
  1. 1.Meijo University, TenpakuNagoyaJapan

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