Explicit knowledge of task structure is a primary determinant of human model-based action

任务(项目管理) 动作(物理) 认知心理学 控制(管理) 心理学 强化学习 计算机科学 简单(哲学) 钢筋 人工智能 社会心理学 物理 管理 量子力学 经济 哲学 认识论
作者
Pedro Castro-Rodrigues,Thomas Akam,Ivar Snorasson,Marta Camacho,Vítor Paixão,Ana Maia,J. Bernardo Barahona‐Corrêa,Peter Dayan,Blair Simpson,Rui M. Costa,Albino J. Oliveira‐Maia
出处
期刊:Nature Human Behaviour [Nature Portfolio]
卷期号:6 (8): 1126-1141 被引量:40
标识
DOI:10.1038/s41562-022-01346-2
摘要

Explicit information obtained through instruction profoundly shapes human choice behaviour. However, this has been studied in computationally simple tasks, and it is unknown how model-based and model-free systems, respectively generating goal-directed and habitual actions, are affected by the absence or presence of instructions. We assessed behaviour in a variant of a computationally more complex decision-making task, before and after providing information about task structure, both in healthy volunteers and in individuals suffering from obsessive-compulsive or other disorders. Initial behaviour was model-free, with rewards directly reinforcing preceding actions. Model-based control, employing predictions of states resulting from each action, emerged with experience in a minority of participants, and less in those with obsessive-compulsive disorder. Providing task structure information strongly increased model-based control, similarly across all groups. Thus, in humans, explicit task structural knowledge is a primary determinant of model-based reinforcement learning and is most readily acquired from instruction rather than experience. Healthy volunteers and patients with obsessive-compulsive disorder learning a task from experience alone tend to repeat actions that lead to rewards. They are poor at learning predictive models, but their use of these models is strongly increased when explicit information is provided.
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