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Adaptive integration of habits into depth-limited planning defines a habitual-goal–directed spectrum
Author(s) -
Mehdi Keramati,
Peter Smittenaar,
Raymond J. Dolan,
Peter Dayan
Publication year - 2016
Publication title -
proceedings of the national academy of sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.011
H-Index - 771
eISSN - 1091-6490
pISSN - 0027-8424
DOI - 10.1073/pnas.1609094113
Subject(s) - normative , task (project management) , habit , process (computing) , computer science , goal setting , cognitive psychology , plan (archaeology) , psychology , adaptive behavior , artificial intelligence , machine learning , social psychology , biology , economics , paleontology , management , philosophy , epistemology , operating system
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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