A computational method for estimating subjective values from decision-making
| Project/Area Number |
24700238
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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 |
Sensitivity informatics/Soft computing
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| Research Institution | Nagoya University (2013-2014)
The Institute of Physical and Chemical Research (2012) |
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Principal Investigator |
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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 |
¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
Fiscal Year 2014: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2013: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2012: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
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| Keywords | 主観的価値推定 / 強化学習 / 計算論モデル / 意思決定 / 選択モデル / 主観的価値 / 強化学習モデル / 統計モデル / ラット / 学習 / 生理反応計測 |
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| Outline of Final Research Achievements |
Humans and other animals can modify the choice behavior depending on the experienced decision outcome in the past. Subjective values are involved in the processes. However, in general, measuring the subjective values is a challenging task. The present study proposed novel framework for estimating subjective values from choice behavior using computational models called the reinforcement learning model. As a result, the validity of the proposed method was confirmed. In addition, a part of the physiological substrates and the neural substrates related to the subjective value were clarified.
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Report
(4 results)
Research Products
(9 results)
