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  "Liking" as an early and editable draft of long-run affective value

Dayan, P. (2022). "Liking" as an early and editable draft of long-run affective value. PLoS Biology, 20(1), 1-15. doi:10.1371/journal.pbio.3001476.

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Dayan, P1, 2, Author           
Affiliations:
1Department of Computational Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_3017468              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: Psychological and neural distinctions between the technical concepts of “liking” and “wanting” pose important problems for motivated choice for goods. Why could we “want” something that we do not “like,” or “like” something but be unwilling to exert effort to acquire it? Here, we suggest a framework for answering these questions through the medium of reinforcement learning. We consider “liking” to provide immediate, but preliminary and ultimately cancellable, information about the true, long-run worth of a good. Such initial estimates, viewed through the lens of what is known as potential-based shaping, help solve the temporally complex learning problems faced by animals.

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 Dates: 2022-01
 Publication Status: Published online
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 Identifiers: DOI: 10.1371/journal.pbio.3001476
eDoc: e3001476
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Title: PLoS Biology
  Other : PLoS Biol.
Source Genre: Journal
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Publ. Info: San Francisco, California, US : Public Library of Science
Pages: - Volume / Issue: 20 (1) Sequence Number: - Start / End Page: 1 - 15 Identifier: ISSN: 1544-9173
CoNE: https://pure.mpg.de/cone/journals/resource/111056649444170