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{ "pk": 27844, "title": "Value-guided choice sets support efficient planning", "subtitle": null, "abstract": "Real-word decision making often involves selecting a singlechoice from an arbitrarily large set of possible options. Giventhat it is typically not feasible to evaluate every possible op-tion in real world decision making, how are human decisionmakers able to efficiently make good decisions? We proposeand evaluate a two-step architecture according to which peoplefirst sample a small subset of options weighted by their previ-ously learned value, and then evaluate those options within thecurrent decision-making context. We demonstrate that a ver-sion of this model captures human decision making in prob-lems where time and resource constraints prevent the evalua-tion of every option, and connect this research to the growingliterature on the representation of non-actual possibilities.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [ { "word": "Value-guided decision making" }, { "word": "Choice sets" }, { "word": "Modal cognition" }, { "word": "possibility" } ], "section": "Publication-based-Talks", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/9wj4d66j", "frozenauthors": [ { "first_name": "Jonathan", "middle_name": "", "last_name": "Phillips", "name_suffix": "", "institution": "Harvard", "department": "" }, { "first_name": "Adam", "middle_name": "", "last_name": "Morris", "name_suffix": "", "institution": "Harvard", "department": "" }, { "first_name": "Fiery", "middle_name": "", "last_name": "Cushman", "name_suffix": "", "institution": "Harvard", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "2018-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/27844/galley/17483/download/" } ] }