{"pk":28404,"title":"Heuristics, hacks, and habits:Boundedly optimal approaches to learning, reasoning and decision making","subtitle":null,"abstract":"Humans regularly perform tasks that require combining infor-mation across several sources of information to learn, reason,and make decisions. Bayesian models provide a computa-tional framework, and a normative account, for how humanscarry out these tasks. However, exact inference is intractablein most real-world situations, and extensive empirical workshows that human behavior often deviates significantly fromthe Bayesian optimum. A promising possibility is that peopleinstead approximate rational solutions using bounded avail-able resources. In this workshop, we bring together lead-ing researchers from cognitive science, neuroscience and ma-chine learning to build a better understanding of bounded op-timality in how humans learn, reason and make decisions.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[{"word":"Heuristics; Resource rationality; Reasoning; De-cision making; Reinforcement learning; Machine learning"}],"section":"Workshops","is_remote":true,"remote_url":"https://escholarship.org/uc/item/6h58b402","frozenauthors":[{"first_name":"Ishita","middle_name":"","last_name":"Dasgupta","name_suffix":"","institution":"Harvard University","department":""},{"first_name":"Eric","middle_name":"","last_name":"Schulz","name_suffix":"","institution":"Harvard University","department":""},{"first_name":"Jessica","middle_name":"B.","last_name":"Hamrick","name_suffix":"","institution":"DeepMind","department":""},{"first_name":"Joshua","middle_name":"B.","last_name":"Tenenbaum","name_suffix":"","institution":"Massachusetts 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/28404/galley/18275/download/"}]}