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How TRURL Evolves Multiagent Worlds for Social Interaction Analysis

  • Takao Terano
  • Setsuya Kurahashi
  • Ushio Minami
Chapter
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1519)

Abstract

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 parameters 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, architecture, 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.

Keywords

Simulation Step Powerful Agent Knowledge Attribute Orient Society Community Computing 
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 1998

Authors and Affiliations

  • Takao Terano
    • 1
  • Setsuya Kurahashi
    • 1
    • 2
  • Ushio Minami
    • 1
    • 3
  1. 1.The University of TsukubaTokyoJapan
  2. 2.YD System CorpTokyoJapan
  3. 3.Hakuho-do CorpTokyoJapan

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