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{ "pk": 29397, "title": "Quantifying Curiosity: A Formal Approach to Dissociating Causes of Curiosity", "subtitle": null, "abstract": "Curiosity motivates exploration and is beneficial for learning,but curiosity is not always experienced when facing theunknown. In the present research, we address this selectivity:what causes curiosity to be experienced under somecircumstances but not others? Using a Bayesian reinforcementlearning model, we disentangle four possible influences oncuriosity that have typically been confounded in previousresearch: surprise, local uncertainty/expected informationgain, global uncertainty, and global expected informationgain. In two experiments, we find that backward-lookinginfluences (concerning beliefs based on prior experience) andforward-looking influences (concerning expectations aboutfuture learning) independently predict reported curiosity, andthat forward-looking influences explain the most variance.These findings begin to disentangle the complexenvironmental features that drive curiosity.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [ { "word": "curiosity; learning; surprise; uncertainty;expected information gain" } ], "section": "Facets of Cognition", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/2vx4g96n", "frozenauthors": [ { "first_name": "Emily", "middle_name": "", "last_name": "Liquin", "name_suffix": "", "institution": "Princeton University", "department": "" }, { "first_name": "Frederick", "middle_name": "", "last_name": "Callaway", "name_suffix": "", "institution": "Princeton University", "department": "" }, { "first_name": "Tania", "middle_name": "", "last_name": "Lombrozo", "name_suffix": "", "institution": "Princeton University", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "2020-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/29397/galley/19257/download/" } ] }