Infrastructure in Assessing Disaster-Relief Agents in the RoboCupRescue Simulation
| Autor: | Takeshi Uchitane, Masaki Onishi, Nobuhiro Ito, Shunki Takami, Yohsuke Murase, Itsuki Noda, Kazunori Iwata |
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| Rok vydání: | 2019 |
| Předmět: |
Emergency management
010308 nuclear & particles physics Computer science business.industry 02 engineering and technology Disaster response 01 natural sciences Software Risk analysis (engineering) 0103 physical sciences 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing business Natural disaster |
| Zdroj: | Computational Science/Intelligence and Applied Informatics ISBN: 9783030252243 CSII (selected papers) |
| DOI: | 10.1007/978-3-030-25225-0_10 |
| Popis: | The RoboCupRescue Simulation project has been implemented as one of the responses to recent large-scale natural disasters. In particular, the project provides a platform for assessing disaster-relief agents and simulations. However, its research evolution is limited because all agents’ programs must be developed by each researcher and the experimental operations are complex. To address these problems, we propose a combination of an agent development framework and experiment management software in this study as infrastructures in assessing disaster-relief agents in the RoboCupRescue Simulation. We have provided those elements separately; however, it becomes possible to easily carry out experiments that have flexible configuration by combining two elements. In the evaluation, a combinatorial experiment as a case study confirms the effectiveness of the environment and shows that the environment can contribute to future disaster response research that utilizes a multi-agent simulation. |
| Databáze: | OpenAIRE |
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