a new approach to fuzzy lcss in two-dimensional continuous multistep environment with continuous vector actions
This paper introduces a new Fuzzy Learning Classifier System that can learn a continuous action vector field from two-dimensional continuous multistep environments. Results where this approach is applied with success to two simple two-dimensional problems are presented.
learning classifier systems genetic algorithms fuzzy classifier systems induction theory fuzzy logic