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{ "pk": 28658, "title": "Where Do Heuristics Come From?", "subtitle": null, "abstract": "Human decision-making deviates from the optimal solution,i.e. the one maximizing cumulative rewards, in many sit-uations. Here we approach this discrepancy from the per-spective of computational rationality and our goal is to pro-vide justification for such seemingly sub-optimal strategies.More specifically we investigate the hypothesis, that humansdo not know optimal decision-making algorithms in advance,but instead employ a learned, resource-constrained approxima-tion. The idea is formalized through combining a recently pro-posed meta-learning model based on Recurrent Neural Net-works with a resource-rational objective. The resulting ap-proach is closely connected to variational inference and theMinimum Description Length principle. Empirical evidenceis obtained from a two-armed bandit task. Here we observepatterns in our family of models that resemble differences be-tween individual human participants.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [ { "word": "Bounded rationality; computational rationality;variational inference; reinforcement learning; meta-learning;individual differences; multi-armed bandit" } ], "section": "Papers with Poster Presentations", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/1gd685wb", "frozenauthors": [ { "first_name": "Marcel", "middle_name": "", "last_name": "Binz", "name_suffix": "", "institution": "Philipps-Universität Marburg", "department": "" }, { "first_name": "Dominik", "middle_name": "", "last_name": "Endres", "name_suffix": "", "institution": "Philipps-Universität Marburg", "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/28658/galley/18529/download/" } ] }