Towards predicting spatial complexity: a learning classifier system approach to the identification of cellular automata
(2005)
Presentation / Conference Contribution
This paper presents a novel approach to the programming of automata-based simulation and computation using a machine learning technique. The identification of lattice-based automata for real-world applications is cast as a data mining problem. Our ap... Read More about Towards predicting spatial complexity: a learning classifier system approach to the identification of cellular automata.