Classifier Systems and Genetic Algorithms
暂无分享,去创建一个
[1] Geoffrey E. Hinton,et al. Distributed Representations , 1986, The Philosophy of Artificial Intelligence.
[2] Paul Thagard,et al. Induction: Processes Of Inference , 1989 .
[3] Geoffrey E. Hinton,et al. Parallel Models of Associative Memory , 1989 .
[4] John J. Grefenstette. Proceedings of the First International Conference on Genetic Algorithms and their Applications, July 24-26, 1985, at the Carnegie-Mellon University, Pittsburgh, PA , 1988 .
[5] Allen Newell,et al. SOAR: An Architecture for General Intelligence , 1987, Artif. Intell..
[6] John H. Holland,et al. Induction: Processes of Inference, Learning, and Discovery , 1987, IEEE Expert.
[7] Lawrence Davis,et al. Genetic Algorithms and Simulated Annealing , 1987 .
[8] John H. Holland,et al. Escaping brittleness: the possibilities of general-purpose learning algorithms applied to parallel rule-based systems , 1995 .
[9] Philip A. Schrodt,et al. Predicting international events , 1986 .
[10] J. Holland. A mathematical framework for studying learning in classifier systems , 1986 .
[11] Lawrence Davis,et al. Applying Adaptive Algorithms to Epistatic Domains , 1985, IJCAI.
[12] Stewart W. Wilson. Knowledge Growth in an Artificial Animal , 1985, ICGA.
[13] Michael P. Fourman,et al. Compaction of Symbolic Layout Using Genetic Algorithms , 1985, ICGA.
[14] Lawrence Davis,et al. Job Shop Scheduling with Genetic Algorithms , 1985, ICGA.
[15] Stephanie Forrest,et al. A Study of Parallelism in the Classifier System and Its Application to Classification in Kl-One Semantic Networks (Artificial Intelligence, Fine-Grained) , 1985 .
[16] David E. Goldberg,et al. Alleles, loci and the traveling salesman problem , 1985 .
[17] Leslie G. Valiant,et al. A theory of the learnable , 1984, STOC '84.
[18] Stewart W. Wilson. On the Retino-Cortical Mapping , 1983, Int. J. Man Mach. Stud..
[19] J J Hopfield,et al. Neural networks and physical systems with emergent collective computational abilities. , 1982, Proceedings of the National Academy of Sciences of the United States of America.
[20] Lashon B. Booker,et al. Intelligent Behavior as an Adaptation to the Task Environment , 1982 .
[21] Ramesh C. Jain,et al. Dynamic Scene Analysis Using Pixel-Based Processes , 1981, Computer.
[22] A G Barto,et al. Toward a modern theory of adaptive networks: expectation and prediction. , 1981, Psychological review.
[23] Lee D. Erman,et al. The Hearsay-II Speech-Understanding System: Integrating Knowledge to Resolve Uncertainty , 1980, CSUR.
[24] Scott E. Fahlman,et al. NETL: A System for Representing and Using Real-World Knowledge , 1979, CL.
[25] Stephen F. Smith,et al. A learning system based on genetic adaptive algorithms , 1980 .
[26] Frederick Hayes-Roth,et al. An interference matching technique for inducing abstractions , 1978, CACM.
[27] John H. Holland,et al. COGNITIVE SYSTEMS BASED ON ADAPTIVE ALGORITHMS1 , 1978 .
[28] Tom M. Mitchell,et al. Version Spaces: A Candidate Elimination Approach to Rule Learning , 1977, IJCAI.
[29] John H. Holland,et al. Cognitive systems based on adaptive algorithms , 1977, SGAR.
[30] K. Dejong,et al. An analysis of the behavior of a class of genetic adaptive systems , 1975 .
[31] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[32] John H. Holland,et al. Genetic Algorithms and the Optimal Allocation of Trials , 1973, SIAM J. Comput..
[33] Allen Newell,et al. Human Problem Solving. , 1973 .
[34] Daniel Raymond Frantz,et al. Nonlinearities in genetic adaptive search. , 1972 .
[35] Patrick Henry Winston,et al. Learning structural descriptions from examples , 1970 .
[36] D. J. Cavicchio,et al. Adaptive search using simulated evolution , 1970 .
[37] Donald A. Waterman,et al. Generalization Learning Techniques for Automating the Learning of Heuristics , 1970, Artif. Intell..
[38] Herbert A. Simon,et al. The Sciences of the Artificial , 1970 .
[39] R. Rosenberg. Simulation of genetic populations with biochemical properties : technical report , 1967 .
[40] John Daniel. Bagley,et al. The behavior of adaptive systems which employ genetic and correlation algorithms : technical report , 1967 .
[41] John H. Holland,et al. Outline for a Logical Theory of Adaptive Systems , 1962, JACM.
[42] Arthur L. Samuel,et al. Some Studies in Machine Learning Using the Game of Checkers , 1967, IBM J. Res. Dev..
[43] W. W. Bledsoe,et al. Pattern recognition and reading by machine , 1959, IRE-AIEE-ACM '59 (Eastern).