Progress Through December 1999
Developed probabilistic rule-based representation of next-state probability distributions
Developed version 0 algorithm for learning probabilistic rules from experience in the world, inspired by Drescher’s schema mechanism
Implemented prototype version of algorithm
Acquired a physical simulation software system for implementing simulated robotic domain
Conducted reading group on the use of object-based representations in robotic systems