2011 Fiscal Year Final Research Report
Quantifying and Classifying Environment for Disaster Rescue using Agent-Based Simulations
| Project/Area Number |
21700177
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Intelligent informatics
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| Research Institution | Aichi University |
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Principal Investigator |
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| Project Period (FY) |
2009 – 2011
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| Keywords | エージェント / 人工知能 / 知能ロボティックス |
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| Research Abstract |
In this study, we define the relationship between map features, including road networks and building information, and the evaluation of multi-agent simulations. We also perform an evaluation experiment to confirm the relationship between the indexes and the results of RoboCupRescue simulations. The results show that the indexes contribute to the absolute evaluation of agents' cooperative algorithm by considering their environmental dependency. This study in researching agents is absolutely imperative to encourage the development of robotomorphic cooperative agents that act on many kinds of environments.
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