{"pk":29236,"title":"Analysis on learning a latent structure in a probabilistic reversal learning task","subtitle":null,"abstract":"We need to be flexible to adapt to dynamically changing circumstances. A probabilistic reversal learning task is one ofthe experimental paradigms to characterize flexibility of a subject. In recent studies, it is hypothesized that a subject mayutilize not only a reward history but also a cognitive map representing a latent structure of the task. In this study, weconducted an experiment using the task toward understanding a process of learning a latent structure of the task. We foundsubjects choose a rewarding option with relatively high frequency in a later phase of the task. Analyzing the subjectsdecision making, it is suggested that they make decision based on their own estimation about the latent structure. Astatistical model selection suggested that a reinforcement learning model with state representations fit behavioral data inthe later phase. These results suggest the subjects learn the latent structure during the task.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[],"section":"Member Abstracts","is_remote":true,"remote_url":"https://escholarship.org/uc/item/08654321","frozenauthors":[{"first_name":"Akira","middle_name":"","last_name":"Masumi","name_suffix":"","institution":"National Institute of Technology","department":""},{"first_name":"Takashi","middle_name":"","last_name":"Sato","name_suffix":"","institution":"National Institute of Technology","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"2019-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/29236/galley/19107/download/"}]}