Causal Effects for Prediction and Deliberative Decision Making of Embodied Systems

Conference paper

Abstract

This article deals with the causal structure of an agent’s sensori-motor loop and its relation to deliberative decision making. Of particular interest are causal effects that can be identified from an agent-centric perspective based on in situ observations. Within this identification, an optimal world model of the agent plays a central role. Its optimality is characterized in terms of prediction quality.

Notes

Acknowledgements

Both authors thank Ralf Der, Daniel Polani, and Bastian Steudel for valuable discussions on causal effects in the sensori-motor loop. This work has been supported by the Santa Fe Institute.

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Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  1. 1.MPI for Mathematics in the SciencesLeipzigGermany
  2. 2.Max Planck Research Group Information Theory of Cognitive SystemsSanta Fe InstituteSanta FeUSA
  3. 3.Max Planck Research Group Information Theory of Cognitive SystemsMPI for Mathematics in the SciencesLeipzigGermany

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