On lookahead and latent learning in simple LCS
暂无分享,去创建一个
[1] W. Vent,et al. Rechenberg, Ingo, Evolutionsstrategie — Optimierung technischer Systeme nach Prinzipien der biologischen Evolution. 170 S. mit 36 Abb. Frommann‐Holzboog‐Verlag. Stuttgart 1973. Broschiert , 1975 .
[2] Larry Bull,et al. ZCS Redux , 2002, Evolutionary Computation.
[3] John H. Holland,et al. Induction: Processes of Inference, Learning, and Discovery , 1987, IEEE Expert.
[4] Stewart W. Wilson. Classifier Systems and the Animat Problem , 1987, Machine Learning.
[5] Larry Bull,et al. On Using Constructivism in Neural Classifier Systems , 2002, PPSN.
[6] Jan Drugowitsch. An Algorithmic Description , 2008 .
[7] Wolfgang Stolzmann,et al. An Introduction to Anticipatory Classifier Systems , 1999, Learning Classifier Systems.
[8] Stewart W. Wilson. ZCS: A Zeroth Level Classifier System , 1994, Evolutionary Computation.
[9] Stewart W. Wilson,et al. Learning Classifier Systems, From Foundations to Applications , 2000 .
[10] Larry Bull,et al. Lookahead and Latent Learning in a Simple Accuracy-Based Classifier System , 2004, PPSN.
[11] Martin V. Butz,et al. Analysis and Improvement of Fitness Exploitation in XCS: Bounding Models, Tournament Selection, and Bilateral Accuracy , 2003, Evolutionary Computation.
[12] Larry Bull,et al. Lookahead And Latent Learning In ZCS , 2002, GECCO.
[13] Thomas Bck,et al. Self-adaptation in genetic algorithms , 1991 .
[14] Larry Bull,et al. A Self-Adaptive Classifier System , 2000, IWLCS.
[15] Larry Bull,et al. Self-adaptive mutation in classifier system controllers , 2000 .
[16] Martin V. Butz,et al. Introducing a Genetic Generalization Pressure to the Anticipatory Classifier System - Part 1: Theoretical approach , 2000, GECCO.
[17] D. JohnH.HOLLAN. CONCERNING THE EMERGENCE OF TAG-MEDIATED LOOKAHEAD IN CLASSIFIER SYSTEMS , 2002 .
[18] Larry Bull,et al. A Self-Adaptive XCS , 2001, IWLCS.
[19] Olivier Sigaud,et al. YACS: Combining Dynamic Programming with Generalization in Classifier Systems , 2000, IWLCS.
[20] Martin V. Butz,et al. An algorithmic description of XCS , 2000, Soft Comput..
[21] 黃崇冀,et al. Machine learning : an artificial intelligence approach , 1988 .
[22] Martin V. Butz,et al. Latent Learning and Action Planning in Robots with Anticipatory Classifier Systems , 1999, Learning Classifier Systems.
[23] In Schoenauer,et al. Parallel Problem Solving from Nature , 1990, Lecture Notes in Computer Science.
[24] Larry Bull,et al. Consideration of Multiple Objectives in Neural Learning Classifier Systems , 2002, PPSN.
[25] H. Crichton-Miller. Adaptation , 1926 .
[26] Larry Bull,et al. Simple Markov Models of the Genetic Algorithm in Classifier Systems: Multi-step Tasks , 2000, IWLCS.
[27] Martin V. Butz,et al. An Algorithmic Description of XCS , 2000, IWLCS.
[28] Larry Bull,et al. ZCS: Theory and practice: UWE Learning Classifier Systems Group Technical Report 01 , 2001 .
[29] Ingo Rechenberg,et al. Evolutionsstrategie : Optimierung technischer Systeme nach Prinzipien der biologischen Evolution , 1973 .
[30] Larry Bull,et al. Towards predicting spatial complexity: a learning classifier system approach to the identification of cellular automata , 2005, 2005 IEEE Congress on Evolutionary Computation.
[31] N. Mackintosh. The psychology of animal learning , 1974 .
[32] Larry Bull,et al. A Memetic Learning Classifier System for Describing Continuous-Valued Problem Spaces , 2005 .
[33] Larry Bull,et al. Two simple learning classifier systems , 2005 .
[34] Lashon B. Booker,et al. Triggered Rule Discovery in Classifier Systems , 1989, ICGA.
[35] Rick L. Riolo,et al. Lookahead planning and latent learning in a classifier system , 1991 .
[36] Arthur L. Samuel,et al. Some Studies in Machine Learning Using the Game of Checkers , 1967, IBM J. Res. Dev..
[37] Martin V. Butz,et al. How XCS evolves accurate classifiers , 2001 .
[38] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[39] J. P. Seward. An experimental analysis of latent learning. , 1949, Journal of experimental psychology.
[40] Larry Bull,et al. Building anticipations in an accuracy-based learning classifier system by use of an artificial neural network , 2005, 2005 IEEE Congress on Evolutionary Computation.
[41] Larry Bull,et al. A Corporate Classifier System , 1998, PPSN.
[42] Larry Bull,et al. A neural learning classifier system with self-adaptive constructivism , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..
[43] Stewart W. Wilson. Classifier Fitness Based on Accuracy , 1995, Evolutionary Computation.
[44] John H. Holland,et al. Properties of the Bucket Brigade , 1985, ICGA.