Proposal of Value Function Implementing Adaptive Cognitive Properties and Its Application to Large-Scale Computing
| Project/Area Number |
25730150
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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 |
Soft computing
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| Research Institution | Tokyo Denki University |
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Principal Investigator |
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| Project Period (FY) |
2013-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2015: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2014: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2013: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
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| Keywords | 限定合理性 / n本腕バンディット問題 / 満足化 / 強化学習 / 計算論的合理性 / モンテカルロ木探索 / メタヒューリスティクス / ロボット運動学習 / 因果帰納 / 認知科学 |
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| Outline of Final Research Achievements |
With the increasing amount of data and the progress in robotics, it is one of the urgent issues to establish a more efficient action selection algorithm while it learns causal relationship under uncertainty. In this study, we prove the effectiveness of a value function, the loosely symmetric (LS) model, that models the causal intuition of humans. In the multi-armed bandit problems, robotic action acquisition task, and Monte Carlo tree search, we showed the efficiency realized by the LS model. We also generalized the model loosening the original restrictions based on new analyses, and tested its cognitive validity by a meta-analysis and experiments.
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Report
(4 results)
Research Products
(11 results)
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[Journal Article] Causal Cognition in Game Tree Search2015
Author(s)
Oyo, K., Noguchi, N., Takahashi, T.
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Journal Title
AIP Proceedings of 12th International Conference of Numerical Analysis and Applied Mathematics (ICNAAM 2014)
Volume: 1648
Pages: 580003-580003
DOI
Related Report
Peer Reviewed / Acknowledgement Compliant
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