2015 Fiscal Year Final Research Report
Searching algorithm based on state-dependent behaviors exhibited by insects
| Project/Area Number |
25420212
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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 |
Intelligent mechanics/Mechanical systems
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| Research Institution | Tokyo Institute of Technology |
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Principal Investigator |
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| Project Period (FY) |
2013-04-01 – 2016-03-31
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| Keywords | 匂い源探索 / 状況依存性 / 情報エントロピー |
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| Outline of Final Research Achievements |
In this study, we investigated state-dependent decision making algorithms of a silkworm moth and replayed the results in simulation environments. We proposed and build a novel experimental system named 3D-servo sphere, by which we could observe behaviors of the animal without any fixations. We also established methods to measure neural responses of flight muscles and a brain simultaneously. As the result, we found state dependent visual feedbacks during programmed behavior, a set of fixed sequence of actions. When the animal could expect reduction of information entropy, it exhibited movements different from those of the programmed behavior. However, when it could not, it behaved like the programmed behavior. We implemented the policy switching into artificial agent in simulator and carried out simulations in different conditions. As the results, we found the policy switching improved adaptability against variations of the conditions.
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| Free Research Field |
知能機械学
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