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{ "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/" } ] }