A Reinforcement Learning System Mimicking Brain Information Processing
| Project/Area Number |
20500207
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Sensitivity informatics/Soft computing
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| Research Institution | Yamaguchi University |
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Principal Investigator |
KOBAYASHI Kunikazu Yamaguchi University, 大学院・理工学研究科, 助教 (40263793)
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| Co-Investigator(Kenkyū-buntansha) |
OBAYASHI Masanao 山口大学, 大学院・理工学研究科, 教授 (60213849)
KUREMOTO Takashi 山口大学, 大学院・理工学研究科, 助教 (40294657)
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| Project Period (FY) |
2008 – 2010
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| Project Status |
Completed (Fiscal Year 2010)
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| Budget Amount *help |
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2010: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2009: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2008: ¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)
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| Keywords | マルチエージェントシステム / 強化学習 / 協調行動 / 大脳情報処理 / 状態予測 / 自律構成 / ロボット / マルチエージェント / モジュール構造 |
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| Research Abstract |
In this research, a reinforcement learning system mimicking brain information processing has developed to emerge cooperative behavior in a multi-agent system. The developed system has a state predictive function of other agents, an autonomous construction function of the system structure, and also the ability to adapt a time-varying environment. It was shown that it could emerge cooperative behavior through both computer simulations and real robot experiments.
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Report
(4 results)
Research Products
(139 results)
