Skip to main content

Creature Learning to Cross a CA Simulated Road

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7495))

Abstract

Agent-based models approximate the behaviour of simple natural and man-made systems. We present a simple cognitive agent capable of evaluating if a strategy has been applied successfully and capable of applying this strategy again with small changes to a similar but new situation. We describe some experimental results, present our conclusions, and outlines future work.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Ferber, J.: Multi-Agent Systems. An Introduction to Distributed Artificial Intelligence. Addison Wesley, London (1999)

    Google Scholar 

  2. Di Stefano, B.N., Lawniczak, A.T.: Cognitive agents: Functionality & performance requirements and a proposed software architecture. In: 2009 IEEE Toronto International Conference on Proc. of Science and Technology for Humanity (TIC-STH), pp. 509–514 (2009)

    Google Scholar 

  3. Lawniczak, A.T., Di Stefano, B.N.: Computational intelligence based architecture for cognitive agents. In: ICCS 2010, Procedia Computer Science, Amsterdam, Holland, May 31 - June 2, vol. 1(1), pp. 2221–2229. Elsevier (2010)

    Google Scholar 

  4. Wooldridge, M.: An Introduction to MultiAgent Systems. John Wiley & Sons, Ltd., Chichester (2009)

    Google Scholar 

  5. Uhrmacher, A.M., Weyns, D.: Multi-Agent Systems Simulation and Applications. CRC Press, Taylor & Francis Group, Boca Raton (2009)

    Google Scholar 

  6. Kasabov, N.K.: Foundations of Neural Networks, Fuzzy Systems and Knowledge Engineering. The MIT Press, Cambridge (1988)

    Google Scholar 

  7. Tettamanzi, A., Tomassini, M.: Soft Computing, Integrating Evolutionary, Neural, and Fuzzy Systems. Springer, Heidelberg (2001)

    MATH  Google Scholar 

  8. Di Stefano, B.N., Lawniczak, A.T.: Modeling a Simple Adaptive Cognitive Agent. Acta Physica Polonica, B Proceedings Supplement 5(1), 21–29 (2012)

    Article  Google Scholar 

  9. Nagel, K., Schreckenberg, M.: A cellular automaton model for freeway traffic. J. Physique I 2, 2221–2229 (1992)

    Article  Google Scholar 

  10. Marsland, S.: Machine Learning: An Algorithm Perspective. Chapman and Hall/CRC (2009)

    Google Scholar 

  11. Alpaydin, E.: Introduction to Machine Learning, 2nd edn. The MIT Press, Cambridge (2009)

    Google Scholar 

  12. Lawniczak, A.T., Di Stefano, B.N.: Development of CA model of highway traffic. In: Adamatzky, A., Alonso-Sanz, R., Lawniczak, A., Martinez, G.J., Morita, K., Worsch, T. (eds.) Automata-2008, Theory and Applications of Cellular Automata. Luniver Press, U.K. (2008)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Lawniczak, A.T., Ernst, J.B., Di Stefano, B.N. (2012). Creature Learning to Cross a CA Simulated Road. In: Sirakoulis, G.C., Bandini, S. (eds) Cellular Automata. ACRI 2012. Lecture Notes in Computer Science, vol 7495. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33350-7_44

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-33350-7_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33349-1

  • Online ISBN: 978-3-642-33350-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics