Specifying Collective Adaptive Situations in Cross Cultural Game towards Validation of Agent-Based Social Simulation

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Author(s)

    • TAKADAMA Keiki
    • Department of Informatics, Graduate School of Informatics and Engineering, The University of Electro-Communications

Abstract

This paper focuses on a <i>collective adaptive situation</i> as an complex phenomena in social dynamics and aims at specifying its situation towards a validation of agent-based social simulations. For this purpose, the <i>fuzzy c-means clustering</i> (FCM) method is applied into the experimental data of both the human subject experiments and the agent-based social simulations in the cross-cultural game, <i>Barnga</i>, and compare these results from the viewpoint of a collective adaptive situation. The analysis of these data has revealed the following implications: (1) the collective adaptive situation can be specified by the FCM method; and (2) the classified results of both of the experimental data are close to each other, indicating that agent-based social simulations can be validated from the viewpoint of a collective adaptive situation.

Journal

  • SICE Journal of Control, Measurement, and System Integration

    SICE Journal of Control, Measurement, and System Integration 6(2), 117-123, 2013-03-31

    The Society of Instrument and Control Engineers

References:  17

Codes

  • NII Article ID (NAID)
    10031159505
  • NII NACSIS-CAT ID (NCID)
    AA12293218
  • Text Lang
    ENG
  • Article Type
    ART
  • ISSN
    18824889
  • Data Source
    CJP  J-STAGE 
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