Methodological Agent Based Social Systems Sciences : Hybrid simulation for extending communication for informed and consent(<Special Reports>METHODOLOGIES FOR SCIENCE POLICY AND RESEARCH MANAGEMENT STUDIES)

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  • DEGUCHI Hiroshi
    Department of Computational Intelligence and Systems Science, Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology

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  • エージェントベース社会システム科学の方法論的基礎 : 言説と理解の地平を広げるハイブリッドシミュレーション(<特集>研究・技術計画/政策科学のメソドロジー)
  • エージェントベース社会システム科学の方法論的基礎--言説と理解の地平を広げるハイブリッドシミュレーション
  • エージェント ベース シャカイ システム カガク ノ ホウホウロンテキ キソ ゲンセツ ト リカイ ノ チヘイ オ ヒロゲル ハイブリッド シミュレーション

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Abstract

In this paper, we focus on the hybrid social simulation that is a combination of gaming simulation by human agents and agent based simulation by machine agents. The hybrid social simulation makes it possible to develop social informed and consent process by extending our communication mode. An agent based simulation supports construction, simulation and evaluation of our decision scenarios. However, a gaming simulation supports human understanding the scenarios. Social simulation gives not the model depending on the universal low but the model for the exploration of future possibilities. It gives a constructed social reality that should be shared and used for planning and evaluating the future scenarios. In other words, the social & organizational planning should gives a shared internal model for understanding the future scenarios. The hybridization of agent based simulation and gaming simulation will help us to share the simulated internal model for the scenario.

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