Fuzzy and probabilistic reasoning in simple learning classifier systems
Jorge Muruzábal · 2002
The paper analyzes the uncertainty-measuring task in stimulus-response (learning) classifier systems and discusses fuzzy and probabilistic structures in the action part of class~ers. A preliminary sketch of a system incorporating bayesian learning on top of the strength-revision process is presented.