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Adaptive integration of habits into depth-limited planning defines a habitual-goal-directed spectrum.
Keramati, Mehdi; Smittenaar, Peter; Dolan, Raymond J; Dayan, Peter.
Afiliación
  • Keramati M; Gatsby Computational Neuroscience Unit, University College London, London W1T 4JG, United Kingdom; mehdi@gatsby.ucl.ac.uk.
  • Smittenaar P; Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, London WC1N 3BG, United Kingdom.
  • Dolan RJ; Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, London WC1N 3BG, United Kingdom.
  • Dayan P; Max Planck Centre for Computational Psychiatry and Ageing Research, University College London, London WC1B 5EH, United Kingdom.
Proc Natl Acad Sci U S A ; 113(45): 12868-12873, 2016 Nov 08.
Article en En | MEDLINE | ID: mdl-27791110
ABSTRACT
Behavioral and neural evidence reveal a prospective goal-directed decision process that relies on mental simulation of the environment, and a retrospective habitual process that caches returns previously garnered from available choices. Artificial systems combine the two by simulating the environment up to some depth and then exploiting habitual values as proxies for consequences that may arise in the further future. Using a three-step task, we provide evidence that human subjects use such a normative plan-until-habit strategy, implying a spectrum of approaches that interpolates between habitual and goal-directed responding. We found that increasing time pressure led to shallower goal-directed planning, suggesting that a speed-accuracy tradeoff controls the depth of planning with deeper search leading to more accurate evaluation, at the cost of slower decision-making. We conclude that subjects integrate habit-based cached values directly into goal-directed evaluations in a normative manner.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2016 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2016 Tipo del documento: Article
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