Adaptive integration of habits into depth-limited planning defines a habitual-goal–directed spectrum

• Published in: Proceedings of the National Academy of Sciences - PNAS Vol. 113; no. 45; pp. 12868 - 12873
• Main Authors: Keramati, Mehdi, Smittenaar, Peter, Dolan, Raymond J., Dayan, Peter
• Format: Journal Article
• Language: English
• Published: United States National Academy of Sciences 08.11.2016
• Subjects: Accuracy; Behavior; Biological Sciences; Decision making; Human subjects; Planning; Simulation; Social Sciences; planning; speed/accuracy tradeoff; habit; reinforcement learning; tree-based evaluation
• ISSN: 0027-8424; 1091-6490; 1091-6490
• DOI: 10.1073/pnas.1609094113

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.