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{ "pk": 26921, "title": "An automatic method for discovering rational heuristics for risky choice", "subtitle": null, "abstract": "What is the optimal way to make a decision given that yourtime is limited and your cognitive resources are bounded? Toanswer this question, we formalized the bounded optimal de-cision process as the solution to a meta-level Markov deci-sion process whose actions are costly computations. We ap-proximated the optimal solution and evaluated its predictionsagainst human choice behavior in the Mouselab paradigm,which is widely used to study decision strategies. Our compu-tational method rediscovered well-known heuristic strategiesand the conditions under which they are used, as well as novelheuristics. A Mouselab experiment confirmed our model’smain predictions. These findings are a proof-of-concept thatoptimal cognitive strategies can be automatically derived as therational use of finite time and bounded cognitive resources.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [ { "word": "Decision-Making; Heuristics; Bounded Rational-ity; Strategy Selection; Rational Metareasoning" } ], "section": "Talks: Papers", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/721295xk", "frozenauthors": [ { "first_name": "Falk", "middle_name": "", "last_name": "Lieder", "name_suffix": "", "institution": "University of California Berkeley", "department": "" }, { "first_name": "Paul", "middle_name": "M.", "last_name": "Krueger", "name_suffix": "", "institution": "University of California Berkeley", "department": "" }, { "first_name": "Thomas", "middle_name": "L.", "last_name": "Griffiths", "name_suffix": "", "institution": "University of California Berkeley", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "2017-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/26921/galley/16557/download/" } ] }