Stewart W. Wilson

Orcid: 0000-0002-7540-1031

According to our database1, Stewart W. Wilson authored at least 44 papers between 1983 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
Autoencoding With a Classifier System.
IEEE Trans. Evol. Comput., 2021

2019
Autoencoding with XCSF.
CoRR, 2019

2009
Coevolution of pattern generators and recognizers.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

2008
Function Approximation With XCS: Hyperellipsoidal Conditions, Recursive Least Squares, and Compaction.
IEEE Trans. Evol. Comput., 2008

2007
Learning classifier systems: a survey.
Soft Comput., 2007

Generalization in the XCSF Classifier System: Analysis, Improvement, and Extension.
Evol. Comput., 2007

Classifier Conditions Using Gene Expression Programming.
Proceedings of the Learning Classifier Systems, 2007

2006
Using convex hulls to represent classifier conditions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Prediction update algorithms for XCSF: RLS, Kalman filter, and gain adaptation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Classifier prediction based on tile coding.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Hyper-ellipsoidal conditions in XCS: rotation, linear approximation, and solution structure.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

2005
Three Architectures for Continuous Action.
Proceedings of the Learning Classifier Systems, International Workshops, 2005

XCS with computed prediction in multistep environments.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Extending XCSF beyond linear approximation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

XCS with computed prediction in continuous multistep environments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

XCS with computed prediction for the learning of Boolean functions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004
Toward a theory of generalization and learning in XCS.
IEEE Trans. Evol. Comput., 2004

Classifier Systems for Continuous Payoff Environments.
Proceedings of the Genetic and Evolutionary Computation, 2004

Mixed Decision Trees: Minimizing Knowledge Representation Bias in LCS.
Proceedings of the Genetic and Evolutionary Computation, 2004

2003
Editorial Introduction - Learning Classifier Systems.
Evol. Comput., 2003

2002
An algorithmic description of XCS.
Soft Comput., 2002

Classifiers that approximate functions.
Nat. Comput., 2002

Learning classifier systems: New models, successful applications.
Inf. Process. Lett., 2002

2001
Compact Rulesets from XCSI.
Proceedings of the Advances in Learning Classifier Systems, 4th International Workshop, 2001

An Incremental Multiplexer Problem and Its Uses in Classifier System Research.
Proceedings of the Advances in Learning Classifier Systems, 4th International Workshop, 2001

2000
Toward Optimal Classifier System Performance in Non-Markov Environments.
Evol. Comput., 2000

Mining Oblique Data with XCS.
Proceedings of the Advances in Learning Classifier Systems, Third International Workshop, 2000

1999
Get Real! XCS with Continuous-Valued Inputs.
Proceedings of the Learning Classifier Systems, From Foundations to Applications, 1999

State of XCS Classifier System Research.
Proceedings of the Learning Classifier Systems, From Foundations to Applications, 1999

What Is a Learning Classifier System?
Proceedings of the Learning Classifier Systems, From Foundations to Applications, 1999

1995
Classifier Fitness Based on Accuracy.
Evol. Comput., 1995

1994
ZCS: A Zeroth Level Classifier System.
Evol. Comput., 1994

1991
GA-Easy Does Not Imply Steepest-Ascent Optimizable.
Proceedings of the 4th International Conference on Genetic Algorithms, 1991

1990
Newboole: A Fast GBML System.
Proceedings of the Machine Learning, 1990

1989
A Critical Review of Classifier Systems.
Proceedings of the 3rd International Conference on Genetic Algorithms, 1989

Rosetta: Toward a Model of Learning Problems.
Proceedings of the 3rd International Conference on Genetic Algorithms, 1989

1988
Bid Competition and Specificity Reconsidered.
Complex Syst., 1988

1987
Classifier Systems and the Animat Problem.
Mach. Learn., 1987

Hierarchical Credit Allocation in a Classifier System.
Proceedings of the 10th International Joint Conference on Artificial Intelligence. Milan, 1987

The Genetic Algorithm and Biological Development.
Proceedings of the 2nd International Conference on Genetic Algorithms, 1987

The Genetic Algorithm and Simulated Evolution.
Proceedings of the Interdisciplinary Workshop on the Synthesis and Simulation of Living Systems, 1987

1985
Adaptive 'Cortical' Pattern Recognition.
Proceedings of the 1st International Conference on Genetic Algorithms, 1985

Knowledge Growth in an Artificial Animal.
Proceedings of the 1st International Conference on Genetic Algorithms, 1985

1983
On the Retino-Cortical Mapping.
Int. J. Man Mach. Stud., 1983


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