Stewart W. Wilson

Stewart W. Wilson: Coevolution of pattern generators and recognizers. GECCO (Companion) 2009: 2605-2608

Stewart W. Wilson: Coevolution of Pattern Generators and Recognizers. IWLCS 2009: 38-46

Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson: Function Approximation With XCS: Hyperellipsoidal Conditions, Recursive Least Squares, and Compaction. IEEE Trans. Evolutionary Computation 12(3): 355-376 (2008)

Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg: Generalization in the XCSF Classifier System: Analysis, Improvement, and Extension. Evolutionary Computation 15(2): 133-168 (2007)

Olivier Sigaud, Stewart W. Wilson: Learning classifier systems: a survey. Soft Comput. 11(11): 1065-1078 (2007)

Stewart W. Wilson: Classifier Conditions Using Gene Expression Programming. IWLCS 2007: 206-217

Tim Kovacs, Xavier Llorà, Keiki Takadama, Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson (Eds.): Learning Classifier Systems, International Workshops, IWLCS 2003-2005, Revised Selected Papers. Lecture Notes in Computer Science 4399, Springer 2007, isbn 978-3-540-71230-5

Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson: Hyper-ellipsoidal conditions in XCS: rotation, linear approximation, and solution structure. GECCO 2006: 1457-1464

Pier Luca Lanzi, Stewart W. Wilson: Using convex hulls to represent classifier conditions. GECCO 2006: 1481-1488

Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg: Classifier prediction based on tile coding. GECCO 2006: 1497-1504

Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg: Prediction update algorithms for XCSF: RLS, Kalman filter, and gain adaptation. GECCO 2006: 1505-1512

Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg: XCS with computed prediction for the learning of Boolean functions. Congress on Evolutionary Computation 2005: 588-595

Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg: XCS with computed prediction in continuous multistep environments. Congress on Evolutionary Computation 2005: 2032-2039

Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg: Extending XCSF beyond linear approximation. GECCO 2005: 1827-1834

Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg: XCS with computed prediction in multistep environments. GECCO 2005: 1859-1866

Stewart W. Wilson: Three Architectures for Continuous Action. IWLCS 2005: 239-257

Martin V. Butz, Tim Kovacs, Pier Luca Lanzi, Stewart W. Wilson: Toward a theory of generalization and learning in XCS. IEEE Trans. Evolutionary Computation 8(1): 28-46 (2004)

Xavier Llorà, Stewart W. Wilson: Mixed Decision Trees: Minimizing Knowledge Representation Bias in LCS. GECCO (2) 2004: 797-809

Stewart W. Wilson: Classifier Systems for Continuous Payoff Environments. GECCO (2) 2004: 824-835

Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson: Editorial Introduction - Learning Classifier Systems. Evolutionary Computation 11(3): iii-iv (2003)

Erick Cantú-Paz, James A. Foster, Kalyanmoy Deb, Lawrence Davis, Rajkumar Roy, Una-May O'Reilly, Hans-Georg Beyer, Russell K. Standish, Graham Kendall, Stewart W. Wilson, Mark Harman, Joachim Wegener, Dipankar Dasgupta, Mitchell A. Potter, Alan C. Schultz, Kathryn A. Dowsland, Natasa Jonoska, Julian F. Miller (Eds.): Genetic and Evolutionary Computation - GECCO 2003, Genetic and Evolutionary Computation Conference, Chicago, IL, USA, July 12-16, 2003. Proceedings, Part I. Lecture Notes in Computer Science 2723, Springer 2003, isbn 3-540-40602-6

Erick Cantú-Paz, James A. Foster, Kalyanmoy Deb, Lawrence Davis, Rajkumar Roy, Una-May O'Reilly, Hans-Georg Beyer, Russell K. Standish, Graham Kendall, Stewart W. Wilson, Mark Harman, Joachim Wegener, Dipankar Dasgupta, Mitchell A. Potter, Alan C. Schultz, Kathryn A. Dowsland, Natasa Jonoska, Julian F. Miller (Eds.): Genetic and Evolutionary Computation - GECCO 2003, Genetic and Evolutionary Computation Conference, Chicago, IL, USA, July 12-16, 2003. Proceedings, Part II. Lecture Notes in Computer Science 2724, Springer 2003, isbn 3-540-40603-4

Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson (Eds.): Learning Classifier Systems, 5th International Workshop, IWLCS 2002, Granada, Spain, September 7-8, 2002, Revised Papers. Lecture Notes in Computer Science 2661, Springer 2003, isbn 3-540-20544-6

John H. Holmes, Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson: Learning classifier systems: New models, successful applications. Inf. Process. Lett. 82(1): 23-30 (2002)

Stewart W. Wilson: Classifiers that approximate functions. Natural Computing 1(2-3): 211-234 (2002)

Martin Butz, Stewart W. Wilson: An algorithmic description of XCS. Soft Comput. 6(3-4): 144-153 (2002)

Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson (Eds.): Advances in Learning Classifier Systems, 4th International Workshop, IWLCS 2001, San Francisco, CA, USA, July 7-8, 2001, Revised Papers. Lecture Notes in Computer Science 2321, Springer 2002, isbn 3-540-43793-2

Lawrence Davis, Chunsheng Fu, Stewart W. Wilson: An Incremental Multiplexer Problem and Its Uses in Classifier System Research. IWLCS 2001: 23-31

Stewart W. Wilson: Compact Rulesets from XCSI. IWLCS 2001: 197-210

Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson (Eds.): Advances in Learning Classifier Systems, Third International Workshop, IWLCS 2000, Paris, France, September 15-16, 2000, Revised Papers. Lecture Notes in Computer Science 1996, Springer 2001, isbn 3-540-42437-7

Pier Luca Lanzi, Stewart W. Wilson: Toward Optimal Classifier System Performance in Non-Markov Environments. Evolutionary Computation 8(4): 393-418 (2000)

Stewart W. Wilson: Mining Oblique Data with XCS. IWLCS 2000: 158-176

Martin Butz, Stewart W. Wilson: An Algorithmic Description of XCS. IWLCS 2000: 253-272

Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson (Eds.): Learning Classifier Systems, From Foundations to Applications. Lecture Notes in Computer Science 1813, Springer 2000, isbn 3-540-67729-1

John H. Holland, Lashon B. Booker, Marco Colombetti, Marco Dorigo, David E. Goldberg, Stephanie Forrest, Rick L. Riolo, Robert E. Smith, Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson: What Is a Learning Classifier System? Learning Classifier Systems 1999: 3-32

Stewart W. Wilson: State of XCS Classifier System Research. Learning Classifier Systems 1999: 63-82

Stewart W. Wilson: Get Real! XCS with Continuous-Valued Inputs. Learning Classifier Systems 1999: 209-222

Stewart W. Wilson: Classifier Fitness Based on Accuracy. Evolutionary Computation 3(2): 149-175 (1995)

Stewart W. Wilson: ZCS: A Zeroth Level Classifier System. Evolutionary Computation 2(1): 1-18 (1994)

Stewart W. Wilson: GA-Easy Does Not Imply Steepest-Ascent Optimizable. ICGA 1991: 85-91

Pierre Bonelli, Alexandre Parodi, Sandip Sen, Stewart W. Wilson: Newboole: A Fast GBML System. ML 1990: 153-159

Stewart W. Wilson, David E. Goldberg: A Critical Review of Classifier Systems. ICGA 1989: 244-255

Stephen J. Smith, Stewart W. Wilson: Rosetta: Toward a Model of Learning Problems. ICGA 1989: 347-350

Stewart W. Wilson: Classifier Systems and the Animat Problem. Machine Learning 2(3): 199-228 (1987)

Stewart W. Wilson: The Genetic Algorithm and Simulated Evolution. ALIFE 1987: 157-166

Stewart W. Wilson: The Genetic Algorithm and Biological Development. ICGA 1987: 247-251

Stewart W. Wilson: Hierarchical Credit Allocation in a Classifier System. IJCAI 1987: 217-220

Stewart W. Wilson: Knowledge Growth in an Artificial Animal. ICGA 1985: 16-23

Stewart W. Wilson: Adaptive 'Cortical' Pattern Recognition. ICGA 1985: 188-196

Stewart W. Wilson: On the Retino-Cortical Mapping. International Journal of Man-Machine Studies 18(4): 361-389 (1983)