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Humans Can Adopt Optimal Discounting Strategy under Real-Time Constraints
Critical to our many daily choices between larger delayed rewards, and smaller more immediate rewards, are the shape and the steepness of the function that discounts rewards with time. Although research in artificial intelligence favors exponential discounting in uncertain environments, studies with...
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| 主要な著者: | , , , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science
2006
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1635539/ https://ncbi.nlm.nih.gov/pubmed/17096592 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.0020152 |
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