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 ...

• Type: Conference
• Year: 2003
• Where: ATAL
• Authors: Yohei Murakami, Toru Ishida, Tomoyuki Kawasoe, Reiko Hishiyama
• Keywords: ATAL 2003, Four-step Process, Scenario Description, Scenario Description Languages