Skip to main content

Busy Beaver - The Influence of Representation

  • Conference paper
  • First Online:
Genetic Programming (EuroGP 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1598))

Included in the following conference series:

Abstract

The Busy Beaver is an interesting theoretical problem proposed by Rado in 1962, in the context of the existence of non computable functions. In this paper we propose an evolutionary approach to this problem. We will focus on the representational issues, proposing alternative ways of codifying and interpreting Turing Machines, designed to take advantage of the existence of sets of equivalent Turing Machines. The experimental results show that these alternatives provide improvement over the “standard” genetic codification.

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

Access this chapter

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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Boolos, G., and Jeffrey, R. (1995). Computability and Logic, Cambridge University Press.

    Google Scholar 

  2. Goodman, E. (1996). GALOPPS (Release 3.2-July, 1996), The Genetic Algorithm Optimized for Portability and Parallelism System, Technical Report #96-07-01, Michigan State University.

    Google Scholar 

  3. Holland, J. (1975) Adaptation in Natural and Artificial Systems, Univ. of Michigan Press.

    Google Scholar 

  4. Jones, T., Rawlins, G. (1993) Reverse HillClimbing, Genetic Algorithms and the Busy Beaver Problem, In Forrest, S. (Ed.), Genetic Algorithms: Proceedings of the Fifth International Conference (ICGA-93). San Mateo, CA: Morgan Kaufmann, pp 70–75.

    Google Scholar 

  5. Lally, A., Reineke, J., and Weader, J. (1997). An Abstract Representation of Busy Beaver Candidate Turing Machines.

    Google Scholar 

  6. Marxen, H. Buntrock, J. (1990). Attacking Busy Beaver 5, Bulletin of the European Association for Theorethical Computer Science, Vol 40.

    Google Scholar 

  7. Pereira, F. B., Machado, P., Costa, E. and Cardoso, A. (1999). Busy Beaver: An Evolutionary Approach. To be published in the Proceedings of the 2 nd Symposium on Artificial Intelligence (CIMAF-99), Havana, Cuba.

    Google Scholar 

  8. Rado, T. (1962) On non-computable functions, The Bell System Technical Journal, vol. 41, no. 3, pp.877–884.

    Article  MathSciNet  Google Scholar 

  9. Wood, D. (1987). Theory of Computation, Harper & Row, Publishers.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1999 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Machado, P., Pereira, F.B., Cardoso, A., Costa, E. (1999). Busy Beaver - The Influence of Representation. In: Poli, R., Nordin, P., Langdon, W.B., Fogarty, T.C. (eds) Genetic Programming. EuroGP 1999. Lecture Notes in Computer Science, vol 1598. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48885-5_3

Download citation

  • DOI: https://doi.org/10.1007/3-540-48885-5_3

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65899-3

  • Online ISBN: 978-3-540-48885-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics