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Accession number;01A0340296
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| Title;Decision-Making of Human Information Processing on Reinforcement Learning Task. |
| Author;
FUJISAKI EMIKO
(Advanced Inst. Sci. and Technol., Nara)
MATSUMOTO KEN'ICHI
(Advanced Inst. Sci. and Technol., Nara)
INOUE KATSURO
(Advanced Inst. Sci. and Technol., Nara)
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Journal Title;IEIC Technical Report (Institute of Electronics, Information and Communication Engineers)
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Journal Code:S0532B
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ISSN:0913-5685
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VOL.100;NO.530(AI2000 56-65);PAGE.45-50(2001)
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| Figure&Table&Reference;FIG.4, TBL.1, REF.6 |
| Pub. Country;Japan |
| Language;Japanese |
| Abstract;Trade-off between "exploration" and "explortation" is one of the unsolved problems in the reinforcement learning. In this paper, we experiment on nine subjects with reinforcement learning task to specify the factors with which lerners deside their strategy. As the result of the experiment, strategies of learners can be classified into five groups. In addition, we found three major factors in deciding their action; "the target rewards of the task", "the residual number of actions in the task", and "the current rewards of the task". (author abst.) |
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