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Individual Level Analysis Using Decision Making Features in Multiagent Based Simulation

  • Tomomi Takashina
  • Kazuhide Tanaka
  • Shigeyoshi Watanabe
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2413)

Abstract

We introduce a set of evaluation tools in the framework of individual level analysis for multiagent based simulations. These tools are intended to overcome the weak points of multiagent systems: that it is difficult to avoid mistakes in description and arbitrary modeling; and to find reliable explanations of causal relationships between the model and its result. We analyze some artificial market models using an evaluation process that consists of the evaluation of initial learning maturity, discrimination between models, and the visualization of attention tendency in a group. We conclude that these analytical methods are useful for the evaluation of multiagent based simulations in terms of validation and finding causal relations.

Keywords

Multiagent System Average Mutual Information Individual Level Analysis Supply Agent Action Uncertainty 
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 2002

Authors and Affiliations

  • Tomomi Takashina
    • 1
  • Kazuhide Tanaka
    • 2
  • Shigeyoshi Watanabe
    • 2
  1. 1.Nikon Digital Technologies CorporationTokyoJapan
  2. 2.The University of Electro-CommunicationsTokyoJapan

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