A new approach to fuzzy LCSs in two-dimensional continuous multistep environment with continuous vector actions

Authors:
José A. Ramírez-Ruiz;Manuel Valenzuela-Rendón;Hugo Terashima-Marín
Affiliations:
Tecnológico de Monterrey, Monterrey, Mexico;Tecnológico de Monterrey, Monterrey, Mexico;Tecnológico de Monterrey, Monterrey, Mexico
Venue:
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Year:
2008

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Abstract

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.