Reconciling reinforcement learning models with behavioral extinction and renewal: Implications for addiction, relapse, and problem gambling.
نویسندگان
چکیده
منابع مشابه
Reconciling reinforcement learning models with behavioral extinction and renewal: implications for addiction, relapse, and problem gambling.
Because learned associations are quickly renewed following extinction, the extinction process must include processes other than unlearning. However, reinforcement learning models, such as the temporal difference reinforcement learning (TDRL) model, treat extinction as an unlearning of associated value and are thus unable to capture renewal. TDRL models are based on the hypothesis that dopamine ...
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There is now ample evidence that extinction, the loss of learned performance that occurs when a Pavlovian signal or an instrumental action is repeatedly presented without its reinforcer, does not reflect a destruction of the original learning. This article summarizes the evidence and extends and updates earlier reviews. The main alternative to "unlearning" is the idea that extinction (as well a...
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ژورنال
عنوان ژورنال: Psychological Review
سال: 2007
ISSN: 1939-1471,0033-295X
DOI: 10.1037/0033-295x.114.3.784