[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to main content

An Algorithmic Description of ACS2

  • Conference paper
  • First Online:
Advances in Learning Classifier Systems (IWLCS 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2321))

Included in the following conference series:

  • 356 Accesses

Abstract

The various modifications and extensions of the anticipatory classifier system (ACS) recently led to the introduction of ACS2, an enhanced and modified version of ACS. This chapter provides an overview over the system including all parameters as well as framework, structure, and environmental interaction. Moreover, a precise description of all algorithms in ACS2 is provided.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  • Butz, M.V. (2001a). Anticipatory learning classifier systems. Genetic Algorithms and Evolutionary Computation. Boston, MA: Kluwer Academic Publishers.

    Google Scholar 

  • Butz, M.V. (2001b). An implementation of the anticipatory classifier system ACS2 in C++ (IlliGAL report 2001026). University of Illinois at Urbana-Champaign: Illinois Genetic Algorithms Laboratory, http://www-illigal.ge.uiuc.edu/sourcecd.html.

  • Butz, M.V. (2002). Biasing exploration in an anticipatory learning classifier system. In Lanzi, P. L., Stolzmann, W., and Wilson, S. W. (Eds.), Proceedings of the Fourth International Workshop on Learning Classifier Systems (IWLCS-2001) Berlin Heidelberg: Springer-Verlag.

    Google Scholar 

  • Butz, M.V., Goldberg, D.E., and Stolzmann, W. (2000). Introducing a genetic generalization pressure to the anticipatory classifier system: Part 1-theoretical approach. In Whitely, D., Goldberg, D.E., Cantu-Paz, E., Spector, L., Parmee, I., and Beyer, H.-G. (Eds.), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2000) pp. 34–41. San Francisco, CA: Morgan Kaufmann.

    Google Scholar 

  • Butz, M.V., Goldberg, D.E., and Stolzmann, W. (2001). Probability-enhanced predictions in the anticipatory classifier system. In Lanzi, P.L., Stolzmann, W., and Wilson, S.W. (Eds.), Advances in Learning Classifier Systems, LNAI 1996 pp. 37–51. Berlin Heidelberg: Springer-Verlag.

    Chapter  Google Scholar 

  • Dorigo, M., and Colombetti, M. (1997). Robot Shaping, an experiment in behavior engineering. Intelligent Robotics and Autonomous Agents. Cambridge, MA: MIT Press.

    Google Scholar 

  • Lanzi, P.L. (2000). Learning classifier systems from a reinforcement learning perspective (Technical Report 00-03). Dipartimento di Elettronica e Informazione, Politecnico di Milano.

    Google Scholar 

  • Stolzmann, W. (1997). Antizipative Classifier Systems [Anticipatory classifier systems]. Aachen, Germany: Shaker Verlag.

    Google Scholar 

  • Stolzmann, W. (1998). Anticipatory classifier systems. In Koza, J.R., Banzhaf, W., Chellapilla, K., Deb, K., Dorigo, M., Fogel, D., Grazon, M., Goldberg, D., Iba, H., and Riolo, R. (Eds.), Genetic Programming 1998: Proceedings of the Third Annual Conference pp. 658–664. San Francisco, CA: Morgan Kaufmann.

    Google Scholar 

  • Stolzmann, W., Butz, M. V., Hoffmann, J., and Goldberg, D. E. (2000). First cognitive capabilities in the anticipatory classifier system. In Meyer, J.-A., Berthoz, A., Floreano, D., Roitblat, H., and Wilson, S. W. (Eds.), From Animals to Animats 6: Proceedings of the Sixth International Conference on Simulation of Adaptive Behavior pp. 287–296. Cambridge, MA: MIT Press.

    Google Scholar 

  • Watkins, C.J.C.H. (1989). Learning from delayed rewards. Doctoral dissertation, King’s College, Cambridge, UK.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2002 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Butz, M.V., Stolzmann, W. (2002). An Algorithmic Description of ACS2. In: Lanzi, P.L., Stolzmann, W., Wilson, S.W. (eds) Advances in Learning Classifier Systems. IWLCS 2001. Lecture Notes in Computer Science(), vol 2321. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48104-4_13

Download citation

  • DOI: https://doi.org/10.1007/3-540-48104-4_13

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43793-2

  • Online ISBN: 978-3-540-48104-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics