Relevance Based Planning: Why Its a Core Process for AGI

Relevance Based Planning (RBP) is a general method that plans in interaction with a domain simulation and domain specialized procedures. I argue that exploitation of the properties of causality and Euclidean topology which hold in many domains is a critical inductive bias necessary if an AGI (or any intelligent program) is to generalize to new problems and new domains, and is critical to human thought, and that RBP achieves its efficiency by exploiting these properties in a novel and powerful way, faithful to introspection in an example task. RBP is proposed to be implemented as a