Acquisition Technology of Fair System Operation Methods Using Collaborative Learning Algorithm
| Project/Area Number |
24560501
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
System engineering
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| Research Institution | Osaka Prefecture University |
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Principal Investigator |
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| Co-Investigator(Renkei-kenkyūsha) |
MORI Naoki 大阪府立大学, 工学研究科, 准教授 (90295717)
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥5,460,000 (Direct Cost: ¥4,200,000、Indirect Cost: ¥1,260,000)
Fiscal Year 2014: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2013: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2012: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
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| Keywords | 機械学習 / 協調学習 / エージェント |
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| Outline of Final Research Achievements |
A system has been modeled for its every components as multiagent systems that act autonomously. Since actual system has uncertain or immeasurable parameters, it is very difficult to set up the attainment method to a task or goal in advance for all cases. Therefore, a collaborative learning algorithm has been developed. The algorithm is a framework of the learning control which adapts to marginal environment through trial and error. This technique acquires fair operation methods, and it has been confirmed that it could use as environment which verifies the consistency in applying the system to actual human society.
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Report
(4 results)
Research Products
(23 results)
