Sander van Dijk

Research Area: Self-Motivated Learning in Robots Based on Information Theoretical Approaches

Room: C108

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Informational structure of decision making

Abstract

Information theory has proven to be a useful tool to identify computational requirements on a decision-making mechanism in perception-action loops of agents. Under the biologically plausible assumption of informational parsimony of decision processes, this project studies the constraints that particular tasks and agent embodiments impose on the structure of the decision-making.

2012 © Adaptive Systems Research Group

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