Multi-agent simulation based on interaction design

Yohei Murakami, Toru Ishida, Tomoyuki Kawasoe, Reiko Hishiyama

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish
Pages (from-to)278-285
Number of pages8
JournalTransactions of the Japanese Society for Artificial Intelligence
Volume18
Issue number5
DOIs
Publication statusPublished - 2003 Dec 1
Externally publishedYes

Keywords

  • Evacuation simulation
  • Multi-agent simulation
  • Scenario description
  • Social interaction

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

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