- author = "Patrick Tufts",
- title = "Dynamic Classifiers: Genetic Programming and Classifier Systems",
- booktitle = "Working Notes for the AAAI Symposium on Genetic Programming",
- year = "1995",
- editor = "E. V. Siegel and J. R. Koza",
- pages = "114--119",
- address = "MIT, Cambridge, MA, USA",
- publisher_address = "445 Burgess Drive, Menlo Park, CA 94025, USA",
- month = "10--12 " # nov,
- publisher = "AAAI",
- keywords = "genetic algorithms, genetic programming",
-
URL = "
http://www.aaai.org/Papers/Symposia/Fall/1995/FS-95-01/FS95-01-016.pdf",
-
URL = "
http://www.aaai.org/Library/Symposia/Fall/fs95-01.php",
- size = "6 pages",
- abstract = "The Dynamic Classifier System extends the traditional classifier system by replacing its fixed-width ternary representation with Lisp expressions. Genetic programming applied to the classifiers allows the system to discover building blocks in a flexible, fitness directed manner. In this paper, I describe the prior art of problem decomposition using genetic programming and classifier systems. I then show how the proposed system builds oil work in these two areas, extending them in a way that provides for flexible representation and fitness directed discovery of useful building blocks.",
-
notes = "AAAI-95f GP. Part of \cite{siegel:1995:aaai-fgp}
The abstract for my paper on the Dynamic Classifier System (DCS) and the slides from my talk may be found at: http://www.cs.brandeis.edu/~zippy/papers.html {\em Telephone:} 415-328-3123 {\em Fax:} 415-321-4457 {\em email} info@aaai.org {\em URL:} http://www.aaai.org/",
