Human Action Model Based on Multiple Agent for Remote Communication
| Project/Area Number |
24700148
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Intelligent informatics
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| Research Institution | Osaka City University |
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Principal Investigator |
TAKUTO Tomohito 大阪市立大学, 大学院工学研究科, 准教授 (80397695)
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| Project Period (FY) |
2012-04-01 – 2014-03-31
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2013: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
Fiscal Year 2012: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
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| Keywords | 強化学習 / データマイニング / 行動予測 / 教科学習 / 遠隔コミュニケーション |
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| Research Abstract |
To solve the communication delay via network, the human action model which can replace a human is proposed. The model is structured by the two-layer. The first layer assumes reactive behavior, and it is modeled by the multiple agents. The agent consists of a linear quadratic controller and a linear predictive function. The second layer assumes predictive action with accumulative reward. The second layer indicates commitments to agents on the first layer to act strategical. The proposed human action model is implemented to simple games on PC and the control habit of the human skilled player is modeled well. Furthermore, the acquired model can play the same game instead of the human player. The human operation model is expected to make the communication via internet smooth.
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Report
(3 results)
Research Products
(8 results)
