Information-Theoretic Bounded Rationality for Learning and Decision-Making
Daniel A Braun
2016 Invited talk
in
Workshop: Imperfect Decision Makers: Admitting Real-World Rationality
in
Workshop: Imperfect Decision Makers: Admitting Real-World Rationality
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.
Speaker
Daniel A Braun
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