An accuracy based corporate classifier system

Tomlinson, A.; Bull, Larry

doi:10.1007/s005000100116

All Outputs (6)

Learning classifier systems (2002)
Journal Article
Bull, L., Lanzi, P., & Stolzmann, W. (2002). Learning classifier systems. Soft Computing, 6(3-4), 143-143. https://doi.org/10.1007/s005000100110

ZCS redux (2002)
Journal Article
Bull, L., & Hurst, J. (2002). ZCS redux. Evolutionary Computation, 10(2), 185-205. https://doi.org/10.1162/106365602320169848

Learning classifier systems traditionally use genetic algorithms to facilitate rule discovery, where rule fitness is payoff based. Current research has shifted to the use of accuracy-based fitness. This paper re-examines the use of a particular payof... Read More about ZCS redux.

On accuracy-based fitness (2002)
Journal Article
Bull, L. (2002). On accuracy-based fitness. Soft Computing, 6(3), 154-161. https://doi.org/10.1007/s005000100112

I theory-a self-adaptive XCS (2002)
Journal Article
Hurst, J., & Bull, L. (2002). I theory-a self-adaptive XCS. Lecture Notes in Artificial Intelligence, 2321, 57-73

ZCS and TCS learning classifier system controllers on real robots (2002)
Journal Article
Hurst, J., Bull, L., & Melhuish, C. (2002). ZCS and TCS learning classifier system controllers on real robots

To date there has only been one implementation of Holland's Learning Classifier System (LCS) on real robots. In this paper the use of Wilson's ZCS system is described for an obstacle avoidance task. Although the task is simple it does present some ad... Read More about ZCS and TCS learning classifier system controllers on real robots.

An accuracy based corporate classifier system (2002)
Journal Article
Tomlinson, A., & Bull, L. (2002). An accuracy based corporate classifier system. Soft Computing, 6(3), 200-215. https://doi.org/10.1007/s005000100116