Skip to main content

Building Knowledge into Developmental Rules for Circuit Design

  • Conference paper
  • First Online:
Evolvable Systems: From Biology to Hardware (ICES 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2606))

Included in the following conference series:

Abstract

Inspired by biological development, we wish to introduce a circuit-DNA that may be developed to a given circuit design organism. This organism is a member of a Virtual EHW FPGA species that may be mapped onto a physical FPGA. A rule-based circuit-DNA, as used herein, provides a challenge to find suitable rules for artificial development of such an organism. Approaching this challenge, the work herein may be said to be of an investigative nature, to explore for developmental rules for developing even the simplest organism.

The artificial developmental process introduced herein, uses a knowledge rich representation including both knowledge of the circuit’s (organism’s) building blocks and local knowledge about neighbouring cells. Initial experiments for knowledge rich development on our virtual technology platform, are presented.

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. P.C. Haddow, G Tufte, and P. van Remortel. Shrinking the genotype: L-systems for ehw? In 4th International Conference on Evolvable Systems (ICES01), Lecture Notes in Computer Science, pages 128–139. Springer, 2001.

    Google Scholar 

  2. P.J. Bentley. Exploring component-based representations—the secret of creativity by evolution. In Fourth Intern. Conf on Adaptive Computing in Design and Manufacture, 2000.

    Google Scholar 

  3. P. C. Haddow and G. Tufte. Bridging the genotype-phenotype mapping for digital FPGAs. In the 3rd NASA/DoD Workshop on Evolvable Hardware, pages 109–115, 2001.

    Google Scholar 

  4. P. van Remortel, T. Lenaerts, and B. Manderick. Lineage and induction in the Development of evolved genotypes for non-uniform 2d cas. In proceedings of the 15th Australian Joint Conference on Artificial Intelligence 2002, 2002.

    Google Scholar 

  5. M. Sipper. Evolution of Parallel Cellular Machines The Cellular Programming Approach. Springer-Verlag, 1997.

    Google Scholar 

  6. C. Ortega and A. Tyrell. A hardware implementation of an embyonic architecture using virtex FPGAs. In Evolvable Systems: from Biology to Hardware, ICES, Lecture Notes in Computer Science, pages 155–164. Springer, 2000.

    Chapter  Google Scholar 

  7. F. Gruau and D. Whitley. Adding learning to the cellular development of neural networks: Evolution and the baldwin effect. Journal of Evolutionary Computation, 1993.

    Google Scholar 

  8. J. Koza. Genetic Programming. The MIT Press, 1993.

    Google Scholar 

  9. H. Kitano. Building complex systems using development process: An engineering approach. In Evolvable Systems: from Biology to Hardware, ICES, Lecture Notes in Computer Science, pages 218–229. Springer, 1998.

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Tufte, G., Haddow, P.C. (2003). Building Knowledge into Developmental Rules for Circuit Design. In: Tyrrell, A.M., Haddow, P.C., Torresen, J. (eds) Evolvable Systems: From Biology to Hardware. ICES 2003. Lecture Notes in Computer Science, vol 2606. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36553-2_7

Download citation

  • DOI: https://doi.org/10.1007/3-540-36553-2_7

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00730-2

  • Online ISBN: 978-3-540-36553-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics