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  Information-Theoretic Bounded Rationality for Learning and Decision-Making

Braun, D. (2016). Information-Theoretic Bounded Rationality for Learning and Decision-Making. Talk presented at NIPS 2016 Workshop on Imperfect Decision Makers: Admitting Real-World Rationality. Barcelona, Spain.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0000-7BEB-E Version Permalink: http://hdl.handle.net/21.11116/0000-0000-C88A-3
Genre: Talk

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 Creators:
Braun, D1, 2, 3, Author              
Affiliations:
1Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              
2Research Group Sensorimotor Learning and Decision-Making, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497809              
3Research Group Sensorimotor Learning and Decision-making, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1688138              

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 Abstract: We study an information-theoretic framework of bounded rational decision-making that trades off utility maximization against information-processing costs. We apply the basic principle of this framework to perception-action systems and show how the formation of abstractions and decision-making hierarchies depends on information-processing costs.

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 Dates: 2016-12-09
 Publication Status: Published in print
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 Identifiers: BibTex Citekey: Braun2016
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Title: NIPS 2016 Workshop on Imperfect Decision Makers: Admitting Real-World Rationality
Place of Event: Barcelona, Spain
Start-/End Date: -
Invited: Yes

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