Scenario description for multi-agent simulation

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Scenario description for multi-agent simulation
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. Categories and Subject Descriptors I.2.11 [Artificial Intelligence]: Distributed Artificial Intelligence ...
Yohei Murakami, Toru Ishida, Tomoyuki Kawasoe, Rei
Added 06 Jul 2010
Updated 06 Jul 2010
Type Conference
Year 2003
Where ATAL
Authors Yohei Murakami, Toru Ishida, Tomoyuki Kawasoe, Reiko Hishiyama
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