Scenario description for multi-agent simulation

  • Authors:

  • Yohei Murakami;Toru Ishida;Tomoyuki Kawasoe;Reiko Hishiyama

  • Affiliations:

  • Kyoto University, Kyoto, Japan;Kyoto University, Kyoto, Japan and JST CREST Digital City Project, Kyoto, Japan;Kyoto University, Kyoto, Japan;Kyoto University, Kyoto, Japan

  • Venue:
  • AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
  • Year:
  • 2003

Quantified Score

Hi-index 0.00

Visualization

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.