The Anticipatory Classiier System and Genetic Generalization the Anticipatory Classiier System and Genetic Generalization
暂无分享,去创建一个
[1] Peter Dayan,et al. Q-learning , 1992, Machine Learning.
[2] D. Goldberg,et al. First Cognitive Capabilities in the Anticipatory Classifier System , 2000 .
[3] Marco Colombetti,et al. Robot Shaping: An Experiment in Behavior Engineering , 1997 .
[4] David E. Goldberg,et al. Genetic Algorithms with Sharing for Multimodalfunction Optimization , 1987, ICGA.
[5] John H. Holland,et al. CONCERNING THE EMERGENCE OF TAG-MEDIATED LOOKAHEAD , 1990 .
[6] In Schoenauer,et al. Parallel Problem Solving from Nature , 1990, Lecture Notes in Computer Science.
[7] Pier Luca Lanzi,et al. An Analysis of Generalization in the XCS Classifier System , 1999, Evolutionary Computation.
[8] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[9] J. Grefenstette. Credit Assignment in Rule Discovery Systems Based on Genetic Algorithms , 2005, Machine Learning.
[10] John H. Holland,et al. Cognitive systems based on adaptive algorithms , 1977, SGAR.
[11] Larry Bull,et al. A Corporate XCS , 1999, Learning Classifier Systems.
[12] A. Zeman. Attentional Processing. The Brain's Art of Mindfulness , 1996 .
[13] Richard S. Sutton,et al. Dyna, an integrated architecture for learning, planning, and reacting , 1990, SGAR.
[14] J. P. Seward. An experimental analysis of latent learning. , 1949, Journal of experimental psychology.
[15] er SystemsTim KovacsOctober. Evolving Optimal Populations with XCS Classi , 1996 .
[16] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[17] Richard S. Sutton,et al. Reinforcement learning architectures for animats , 1991 .
[18] Dave Cliff,et al. Adding Temporary Memory to ZCS , 1994, Adapt. Behav..
[19] Pier Luca Lanzi,et al. Learning classifier systems from a reinforcement learning perspective , 2002, Soft Comput..
[20] David E. Goldberg,et al. Introducing a Genetic Generalization Pressure to the Anticipatory Classiier System Part 2: Performance Analysis Introducing a Genetic Generalization Pressure to the Anticipatory Classiier System Part 2: Performance Analysis , 2007 .
[21] John H. Holland,et al. Properties of the bucket brigade algorithm , 1985 .
[22] Gary L. Drescher,et al. Made-up minds - a constructivist approach to artificial intelligence , 1991 .
[23] Stewart W. Wilson. ZCS: A Zeroth Level Classifier System , 1994, Evolutionary Computation.
[24] D. JohnH.HOLLAN. CONCERNING THE EMERGENCE OF TAG-MEDIATED LOOKAHEAD IN CLASSIFIER SYSTEMS , 2002 .
[25] Stewart W. Wilson. Get Real! XCS with Continuous-Valued Inputs , 1999, Learning Classifier Systems.
[26] Martin V. Butz,et al. Introducing a Genetic Generalization Pressure to the Anticipatory Classifier System - Part 1: Theoretical approach , 2000, GECCO.
[27] T. Kovacs. XCS Classifier System Reliably Evolves Accurate, Complete, and Minimal Representations for Boolean Functions , 1998 .
[28] F. W. Irwin. Purposive Behavior in Animals and Men , 1932, The Psychological Clinic.
[29] Rick L. Riolo,et al. Lookahead planning and latent learning in a classifier system , 1991 .
[30] Martin V. Butz,et al. Latent Learning and Action Planning in Robots with Anticipatory Classifier Systems , 1999, Learning Classifier Systems.
[31] Dana H. Ballard,et al. Learning to Perceive and Act , 1990 .
[32] P. Lanzi,et al. Adaptive Agents with Reinforcement Learning and Internal Memory , 2000 .
[33] Kalyanmoy Deb,et al. A Comparative Analysis of Selection Schemes Used in Genetic Algorithms , 1990, FOGA.