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  • 标题:実験計画法による実験数削減と有意なパラメータ探索の避難シミュレーション分析への適用
  • 本地全文:下载
  • 作者:松島 裕康 ; 内種 岳詞 ; 辻 順平
  • 期刊名称:人工知能学会論文誌
  • 印刷版ISSN:1346-0714
  • 电子版ISSN:1346-8030
  • 出版年度:2016
  • 卷号:31
  • 期号:6
  • 页码:AG-E_1-9
  • DOI:10.1527/tjsai.AG-E
  • 出版社:The Japanese Society for Artificial Intelligence
  • 摘要:

    In this paper, we address the development of module to the framework which manage execution of multi-agent simulations entered the innumerable combination of input parameters, in order to find effective input parameters from the exhaustive parameter combinations. Toward the development of module, we focus on design of experiment and propose method that orthogonal parameter sets are generated automatically by using differences of the output result. Concretely, by using statistical analysis, parameters are indicated significant difference between input values, and combination of parameters around these significant parameters is generated. To investigate effectiveness of proposed method, through evacuation simulation, we compare each results of all combination of input parameter and reduced combination of them by using module which implemented proposed method is implemented.

  • 关键词:multi-agent simulation;design of experiment;evacuation simulation
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