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.