2014 Fiscal Year Final Research Report
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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| 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 |
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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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| Free Research Field |
計算行動科学
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