Causal Effects for Prediction and Deliberative Decision Making of Embodied Systems
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.
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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