Self-Correcting Generalization

Stephen B. Whitehill

A system is described which creates and generalizes rules from examples. The system can recover from an initially misleading input sequence by keeping evidence which supports (or doesn’t support) a given generalization. By undoing over-generalizations, the system maintains a minimal set of rules for a given set of inputs.

This page is copyrighted by AAAI. All rights reserved. Your use of this site constitutes acceptance of all of AAAI's terms and conditions and privacy policy.