YACS: Combining dynamic programming with generalization in classifier systems

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1996, Issue , 2001, Pages 52-69

  Gérard, Pierre ^a,b   Sigaud, Olivier ^a  

^a DASSAULT AVIATION   (France)

^b UNIVERSITÉ PIERRE ET MARIE CURIE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; DYNAMICS; GENETIC PROGRAMMING; ITERATIVE METHODS; REINFORCEMENT LEARNING;

CLASSIFIER SYSTEMS; DYNAMIC PROGRAMMING METHODS; GENETIC OPERATORS; LATENT LEARNING; LEARNING CLASSIFIER SYSTEM; OPTIMAL ACTIONS; SPECIALIZATION OPERATORS; VALUE ITERATION ALGORITHM;

DYNAMIC PROGRAMMING;

EID: 84942869163     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44640-0_5     Document Type: Conference Paper

References (22)

1. Bellman, R. E. (1957). Dynamic Programming. Princeton University Press, Princeton, NJ
2. Booker, L., Goldberg, D. E., and Holland, J. H. (1989). Classifier systems and genetic algorithms. Artificial Intelligence, 40(1-3):235-282
3. Butz, M. V., Goldberg, D. E., and Stolzmann, W. (2000a). Introducing a genetic generalization pressure to the anticipatory Classifier system part i: Theoretical approach. In Proceedings of the 2000 Genetic and Evolutionary Com-putation Conference (GECCO 2000)
4. Butz, M. V., Goldberg, D. E., and Stolzmann, W. (2000b). Investigating generalization in the anticipatory Classifier system. In Proceedings of the Sixth International Conference on Parallel Problem Solving from Nature
5. Butz, M. V. and Stolzmann, W. (1999). Action-planning in anticipatory Classifier sytems. In Proceedings of the 1999 Genetic and Evolutionary Computation Conference Workshop Program
6. Cliff, D. and Ross, S. (1994). Adding memory to ZCS. Adaptive Behavior, 3(2):101-150
7. Dorigo, M. (1994). Genetic and non-genetic operators in alecsys. Evo-lutionary Computation, 1(2):151-164
8. Goldberg, D. E. (1989). Genetic Algorithms in Search, Optimization, and Machine Learning. Addison Wesley
9. Holland, J. H., Holyoak, K. J., Nisbett, R. E., and Thagard, P. R. (1986). Induction. MIT Press
10. Lanzi, P. L. (1998). Adding memory to XCS. In Proceedings of the IEEE Conference on Evolutionary Computation (ICEC98). IEEE Press
11. Lanzi, P. L. (1999). An analysis of generalization in the XCS Classifier system. Evolutionary Computation, 2(7):125-149
12. Lanzi, P. L. (2000). Toward optimal performance in Classifier systems. Evolutionary Computation Journal. in print
13. McCallum, R. A. (1996). Learning to use selective attention and short-term memory. In Maes, P., Mataric, M., Meyer, J.-A., Pollack, J., and Wilson, S. W., (Eds.), Proceedings of the Fourth International Conference on Simulation of Adaptive Behavior, pages 315-324, Cambridge, MA. MIT Press
14. Riolo, R. L. (1991). Lookahead planning and latent learning in a Classifier system. In Meyer, J.-A. and Wilson, S. W., (Eds.), From annimals to animats: Pro-ceedings of the First International Conference on Simulation of Adaptative Behavior, pages 316-326, Cambridge, MA. MIT Press
15. Sigaud, O. (2000). Using Classifier systems as adaptive expert systems for control. In Stolzmann, W., Lanzi, P.-L., and Wilson, S. W., (Eds.), LNCS : New trends in Classifier Systems. Springer-Verlag
16. Stolzmann, W. (1998). Anticipatory Classifier systems. In Koza, J., Banzhaf, W., Chellapilla, K., Deb, K., Dorigo, M., Fogel, D., Garzon, M., Goldberg, D., Iba, H., and Riolo, R., (Eds.), Genetic Programming. Morgan Kaufmann Publishers, Inc., San Francisco, CA
17. Stolzmann, W. (1999). Latent learning in khepera robots with an-ticipatory Classifier systems. In Proceedings of the 1999 Genetic and Evolutionary Computation Conference Workshop Program
18. Sutton, R. S. and Barto, A. (1998). Reinforcement Learning: An Introduction. MIT Press
19. Watkins, C. J. (1989). Learning with delayed rewards. PhD thesis, Psychology Department, University of Cambridge, England
20. Wilson, S. W. (1994). ZCS, a zeroth level Classifier system. Evolutionary Computation, 2(1):1-18
21. Wilson, S. W. (1995). Classifier fitness based on accuracy. Evolutionary Computation, 3(2):149-175
22. Witkowski, C. M. (1999). Integrating unsupervised learning, moti-vation and action selection in an a-life agent. In Floreano, D., Mondada, F., and Nicoud, J.-D., (Eds.), 5th European Conference on Artificial Life (ECAL-99), pages 355-364, Lausanne. Springer.