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  • 标题:Multi-Agent Simulation Based on Interaction Design
  • 本地全文:下载
  • 作者:Yohei Murakami ; Toru Ishida ; Tomoyuki Kawasoe
  • 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:2003
  • 卷号:18
  • 期号:5
  • 页码:278-285
  • DOI:10.1527/tjsai.18.278
  • 出版社:The Japanese Society for Artificial Intelligence
  • 摘要:Making it easier to design interactions between agents and humans is essential for realizing multi-agent simulations of social phenomena such as group dynamics. To realize large-scale social simulations, we have developed the scenario description languages Q and IPC (Interaction Pattern Card); they enable experts in the application domain (often not computing professionals) to easily create complex scenarios. We have also established a four-step process for creating scenarios: 1) defining a vocabulary, 2) describing scenarios, 3) extracting interaction patterns, and 4) integrating real and virtual experiments. In order to validate the scenario description languages and the four-step process, we ran a series of evacuation simulations based on the proposed languages and process. We successfully double-check the result of the previous controlled experiment done in a real environment.
  • 关键词:multi-agent simulation ; scenario description ; social interaction ; evacuation simulation
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