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 language | English |
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Pages (from-to) | 278-285 |
Number of pages | 8 |
Journal | Transactions of the Japanese Society for Artificial Intelligence |
Volume | 18 |
Issue number | 5 |
DOIs | |
Publication status | Published - 2003 |
Externally published | Yes |
Keywords
- Evacuation simulation
- Multi-agent simulation
- Scenario description
- Social interaction
ASJC Scopus subject areas
- Software
- Artificial Intelligence