Skip to main content
SpringerLink
Log in

GCS with Real-Valued Input

  • Conference paper
Bio-inspired Modeling of Cognitive Tasks (IWINAC 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4527))

Abstract

The new learning classifier system is described to classify real-valued data. The approach applies the continous-valued context-free grammar based system GCS. In order to handle effectively, the terminal rules have been replaced by the so-called environment probing rules. The rGCS model has been tested on the checkerboard problem.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Gold, E.: Language identification in the limit. Information Control 10, 447–474 (1967)

    Article  Google Scholar 

  2. Holland, J.: Adaptation. In: Progress in theoretical biology, Plenum, New York (1976)

    Google Scholar 

  3. Stone, C., Bull, L.: For real! XCS with continuous-valued inputs. Evolutionary Computation 11(3), 299–336 (2003)

    Article  Google Scholar 

  4. Unold, O.: Context-free grammar induction with grammar-based classifier system. Archives of Control Science 15(4), 681–690 (2005)

    Google Scholar 

  5. Unold, O.: Playing a toy-grammar with GCS. In: Mira, J., Álvarez, J.R. (eds.) IWINAC 2005. LNCS, vol. 3562, pp. 300–309. Springer, Heidelberg (2005)

    Google Scholar 

  6. Unold, O., Cielecki, L.: Grammar-based Classifier System. In: Hryniewicz, O., et al. (eds.) Issues in Intelligent Systems: Paradigms, pp. 273–286. EXIT, Warszawa (2005)

    Google Scholar 

  7. Unold, O., Cielecki, L.: How to use crowding selection in Grammar-based Classifier System. In: Kwasnicka, H., Paprzycki, M. (eds.) Proc. of 5th International Conference on Intelligent Systems Design and Applications, pp. 126–129. IEEE Computer Society Press, Los Alamitos (2005)

    Google Scholar 

  8. Younger, D.: Recognition and parsing of context-free languages in time n3. Technical report, University of Hawaii, Department of Computer Science (1967)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. The Institute of Computer Engineering, Control and Robotics (CECR), Wroclaw University of Technology, Wyb. Wyspianskiego 27, 50-370 Wroclaw, Poland

    Lukasz Cielecki & Olgierd Unold

Authors
  1. Lukasz Cielecki
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Olgierd Unold
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

José Mira José R. Álvarez

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer Berlin Heidelberg

About this paper

Cite this paper

Cielecki, L., Unold, O. (2007). GCS with Real-Valued Input. In: Mira, J., Álvarez, J.R. (eds) Bio-inspired Modeling of Cognitive Tasks. IWINAC 2007. Lecture Notes in Computer Science, vol 4527. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73053-8_49

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-73053-8_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73052-1

  • Online ISBN: 978-3-540-73053-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation