DocumentCode
2691885
Title
A learning classifier system with mutual-information-based fitness
Author
Smith, R.E. ; Jiang, Max Kun
Author_Institution
Univ. Coll. London, London
fYear
2007
fDate
25-28 Sept. 2007
Firstpage
2173
Lastpage
2180
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/CEC.2007.4424741
Filename
4424741
Link To Document