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pro vyhledávání: '"associative and reinforcement learning"'
Akademický článek
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Publikováno v:
Veksler, Vladislav; Myers, Chrsitopher; & Gluck, Kevin. (2012). An Integrated Model of Associative and Reinforcement Learning. Proceedings of the Cognitive Science Society, 34(34). Retrieved from: http://www.escholarship.org/uc/item/2rq250h1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::e6348847a266864a122c1cec3c8b4c71
http://www.escholarship.org/uc/item/2rq250h1
http://www.escholarship.org/uc/item/2rq250h1
Publikováno v:
CogSci
Successfully explaining and replicating the complexity and generality of human and animal learning will require the integration of a variety of learning mechanisms. Here, we introduce a computational model which integrates associative learning (AL) a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::431bc9472a17dfac149df9ca70beb412
https://pubmed.ncbi.nlm.nih.gov/24460979
https://pubmed.ncbi.nlm.nih.gov/24460979
Conference
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Publikováno v:
Cognitive Science; Apr2014, Vol. 38 Issue 3, p580-598, 19p
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America; 7/23/2024, Vol. 121 Issue 30, p1-7, 7p
Group based dominant emotional maps characterized by long lasting negatively valenced emotions, such as fear, anger, hatred or humiliation may elicit strong extreme political attitudes, actions and behaviors, as well as massive posttraumatic stress d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=57a035e5b1ae::95c0c47f2742aca0480b20b1f0b710a3
https://www.bib.irb.hr/591363
https://www.bib.irb.hr/591363
Autor:
Li, Hong1,2 (AUTHOR), Rodríguez-Nieto, Geraldine1,2 (AUTHOR), Chalavi, Sima1,2 (AUTHOR), Seer, Caroline1,2 (AUTHOR), Mikkelsen, Mark3 (AUTHOR), Edden, Richard A. E.4,5 (AUTHOR), Swinnen, Stephan P.1,2 (AUTHOR) stephan.swinnen@kuleuven.be
Publikováno v:
Behavioral & Brain Functions. 8/31/2024, Vol. 20 Issue 1, p1-38. 38p.
Publikováno v:
Manoonpong, P, Kolodziejski, C, Wörgötter, F & Morimoto, J 2013, ' Combining Correlation-Based and Reward-Based Learning in Neural Control for Policy Improvement ', Advances in Complex Systems, vol. 16, no. 02n03, 1350015 . https://doi.org/10.1142/S021952591350015X
Classical conditioning (conventionally modeled as correlation-based learning) and operant conditioning (conventionally modeled as reinforcement learning or reward-based learning) have been found in biological systems. Evidence shows that these two me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc6558fd79114b2a65a204c7e20daced
https://doi.org/10.1142/s021952591350015x
https://doi.org/10.1142/s021952591350015x
Autor:
Anderson, Brian A., Britton, Mark K.
Publikováno v:
Attention, Perception & Psychophysics; Nov2019, Vol. 81 Issue 8, p2666-2672, 7p