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  Heuristics, hacks, and habits: Boundedly optimal approaches to learning, reasoning and decision making

Dasgupta, I., Schulz, E., Hamrick, J., & Tenenbaum, J. (2019). Heuristics, hacks, and habits: Boundedly optimal approaches to learning, reasoning and decision making. In A. Goel, C. Seifert, & C. Freksa (Eds.), 41st Annual Meeting of the Cognitive Science Society (CogSci 2019): Creativity + Cognition + Computation (pp. 72-73). Red Hook, NY, USA: Curran.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0005-D623-2 Version Permalink: https://hdl.handle.net/21.11116/0000-0006-E3B2-0
Genre: Conference Paper

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 Creators:
Dasgupta, I, Author
Schulz, E1, Author           
Hamrick, JB, Author
Tenenbaum, JB, Author
Affiliations:
1External Organizations, ou_persistent22              

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 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 boundedlyoptimality in how humans learn, reason and make decisions.

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 Dates: 2019-072019-10
 Publication Status: Issued
 Pages: -
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Title: 41st Annual Conference of the Cognitive Science Society (CogSci 2019)
Place of Event: Montreal, Canada
Start-/End Date: 2019-07-24 - 2019-07-27

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Title: 41st Annual Meeting of the Cognitive Science Society (CogSci 2019): Creativity + Cognition + Computation
Source Genre: Proceedings
 Creator(s):
Goel, AK, Editor
Seifert, CM, Editor
Freksa, C, Editor
Affiliations:
-
Publ. Info: Red Hook, NY, USA : Curran
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 72 - 73 Identifier: ISBN: 978-1-5108-9155-5