All Outputs (63)

Towards machine learning control of chemical computers (2006)
Book Chapter
Budd, A., Stone, C., Masere, J., Adamatzky, A., de Lacy Costello, B., & Bull, L. (2006). Towards machine learning control of chemical computers. In A. Adamatzky, & C. Teuscher (Eds.), From Utopian to Genuine Unconventional Computers (17-36). Frome, UK: Luniver Press

Towards predicting spatial complexity: a learning classifier system approach to the identification of cellular automata (2005)
Presentation / Conference
Bull, L., Lawson, I., Adamatzky, A., & de Lacy Costello, B. (2005, September). Towards predicting spatial complexity: a learning classifier system approach to the identification of cellular automata. Paper presented at IEEE Congress on Evolutionary Computation, 2005, Edinburgh, UK

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.

On loading slime mould Physarum polycephalum with metallic particles
Journal Article
Mayne, R., Patton, D., de Lacy Costello, B., Patton, R., & Adamatzky, A. On loading slime mould Physarum polycephalum with metallic particles

Plasmodium \emph{Physarum polycephalum} is a large single cell visible with the naked eye. When inoculated on a substrate with attractants and repellents the plasmodium develops optimal networks of protoplasmic tubes which span sites of attractants (... Read More about On loading slime mould Physarum polycephalum with metallic particles.