Classifier systems for continuous payoff environments

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3103, Issue , 2004, Pages 824-835

  Wilson, Stewart W ^a,b  

^a Prediction Dynamics   (United States)

^b University of Illinois at Urbana Champaign   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTERS;

CLASSIFIER SYSTEMS; EXTENDED SYSTEMS; INPUT STATE; LINEAR FUNCTIONS; LINEAR PREDICTION; NONLINEAR PROBLEMS; PAYOFF FUNCTION;

ARTIFICIAL INTELLIGENCE;

EID: 35048875188     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-24855-2_96     Document Type: Article

References (12)

1. mathworld.wolfram.com/ContinuousFunction.html.
2. Larry Bull and Toby O'Hara. Accuracy-based neuro and neuro-fuzzy classifier systems. In W. B. Langdon et al, editors, GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, pages 905-911. Morgan Kaufmann, 2002.
3. Martin V. Butz and Stewart W. Wilson. An Algorithmic Description of XCS. In Lanzi et al. [4], pages 253-272.
4. Pier Luca Lanzi, Wolfgang Stolzmann, and Stewart W. Wilson, editors. Advances in Learning Classifier Systems, volume 1996 of LNAI. Springer-Verlag, Berlin, 2001.
5. Tom M. Mitchell. Machine Learning. WCB/McGraw Hill, Boston, MA, 1997.
6. Stuart I. Reynolds. A description of state dynamics and experiment parameters for the hoverbeam task. Technical report, University of Birmingham, School of Computer Science, 2000.
7. Bernard Widrow and Mercian E. Hoff. Adaptive switching circuits. In James A. Anderson and Edward Rosenfeld, editors, Neurocomputing: Foundations of Research, pages 126-134. The MIT Press, Cambridge, MA, 1988.
8. Stewart W. Wilson. Classifier Fitness Based on Accuracy. Evolutionary Computation, 3(2):149-175, 1995.
9. Stewart W. Wilson. Get Real! XCS with Continuous-Valued Inputs. In Pier Luca Lanzi, Wolfgang Stolzmann, and Stewart W. Wilson, editors, Learning Classifier Systems. From Foundations to Applications, volume 1813 of LNAI, pages 209-219, Springer-Verlag, Berlin, 2000.
10. Stewart W. Wilson. Function approximation with a classifier system. In Lee Spector et al, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pages 974-981. Morgan Kaufmann, 2001.
11. Stewart W. Wilson. Mining Oblique Data with XCS. In Lanzi et al. [4], pages 158-174.
12. Stewart W. Wilson. Classifiers that approximate functions. Natural Computing, 1(2-3):211-233, 2002.