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タイトル
和文: 
英文:How TRURL Evolves Multiagent Worlds for Social Interaction Analysis 
著者
和文: 寺野隆雄, 倉橋節也, 畝見達夫.  
英文: Takao Terano, Setsuya Kurahashi, Tatsuo Unemi.  
言語 English 
掲載誌/書名
和文: 
英文:Community Computing and Support Systems: Social Interaction in Networked Communities (LNCS 1519) 
巻, 号, ページ         pp. 43-60
出版年月 1998年 
出版者
和文: 
英文:Springer-Verlag, Berlin 
会議名称
和文: 
英文: 
開催地
和文: 
英文: 
アブストラクト TRURL is an agent-based simulation environment, which is designed to analyze social interactions among agents including software and people in community computing. The unique characteristics of TRURL are summarized as follows: (1 ) Unlike conventional simulation systems, TRURL has so many predetermined and acquired parameters with which TRURL is able to simulate very complex conditions of the societies. The former parameters have constant values during one simulation cycle, however, the latter parameter change during the interactions. (2) TRURL utilizes Genetic Algorithms to evolve the societies by changing the predetermined parameters to optimize macro-level socio-metric measures. This means TRURL solves large-scale inverse problems. This paper first describes basic principles, architect are, and mechanisms of TRURL. Then, it discusses how TRURL evolves the artificial societies by automated parameters tuning on both micro- and macro-level phenomena grounded in the activities of real worlds.

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