An Environment for Combinatorial Experiments in a Multi-agent Simulation for Disaster Response
| Autor: | Kazunori Iwata, Masaki Onishi, Yohsuke Murase, Takeshi Uchitane, Nobuhiro Ito, Shunki Takami |
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| Rok vydání: | 2018 |
| Předmět: |
010308 nuclear & particles physics
Computer science business.industry Multi-agent system Distributed computing 02 engineering and technology Modular design Disaster response 01 natural sciences Variety (cybernetics) Set (abstract data type) Task (computing) 020303 mechanical engineering & transports 0203 mechanical engineering 0103 physical sciences Research environment Motion planning business |
| Zdroj: | Lecture Notes in Computer Science ISBN: 9783030030971 PRIMA |
| Popis: | We present a research environment for combinatorial experiments for the RoboCupRescue Simulation, which is a platform for the study of disaster-relief strategies using multi-agent simulations. To simulate the agents in disaster-relief situations in the RoboCupRescue Simulation, it is necessary to implement a wide variety of algorithms for tasks such as such as group formation, path planning, and task allocation. Recently, we proposed a modular framework, the Agent Development Framework, that enables researchers to implement, study, and test each algorithm independently. Because the algorithms developed in this framework are mutually replaceable, it is possible to combine algorithms developed by different researchers. In this study, we further propose an experimental environment to efficiently handle the experiments of a huge number of possible combinations of the algorithms. As a demonstration, we test various combinations of the algorithms developed by the participants of RoboCup 2017 and show that there indeed exists a set of the algorithms that is superior to the original ones developed by each team. |
| Databáze: | OpenAIRE |
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