Learning Novel Domains Through Curiosity and Conjecture

Abstract

This paper describes DIDO, a system we have developed to carry out exploratory learning of unfamiliar domains without assistance from an external teacher. The program incorporates novel approaches to experience generation and representation generation. The experience generator uses a heuristic based on Shannon's uncertainty function to find informative examples. The representation generator makes conjectures on the basis of small amounts of evidence and retracts them if they prove to be wrong or useless. A number of experiments are described which demonstrate that the system can distribute its learning resources to steadily acquire a good representation of the whole of a domain, and that the system can readily acquire both disjunctive and conjunctive concepts even in the presence of noise. 1. Introduction This paper gives an account of DIDO, a learning system we have developed to carry out exploratory learning of unfamiliar domains * . We define the exploratory learning problem as ...