Title :
A learning classifier system with mutual-information-based fitness
Author :
Smith, R.E. ; Jiang, Max Kun
Author_Institution :
Univ. Coll. London, London
Abstract :
This paper introduces a new variety of learning classifier system (LCS), called MILCS, which utilizes mutual information as fitness feedback. Unlike most LCSs, MILCS is specifically designed for supervised learning. We present preliminary results, and contrast them to results from XCS. We discuss the explanatory power of the resulting rule sets, and introduce a new technique for visualizing explanatory power. Final comments include future directions for this research, including investigations in neural networks and other systems.
Keywords :
learning (artificial intelligence); neural nets; pattern classification; explanatory power visualization; fitness feedback; learning classifier system; mutual information; neural networks; supervised learning; Evolutionary computation;
Conference_Titel :
Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1339-3
Electronic_ISBN :
978-1-4244-1340-9
DOI :
10.1109/CEC.2007.4424741
