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Understanding Inherent Qualities of Evolved Circuits: Evolutionary History as a Predictor of Fault Tolerance

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Evolvable Systems: From Biology to Hardware (ICES 2000)

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Abstract

Electronic circuits exhibit inherent qualities, which are due to the nature of the design process rather than any explicit behavioural specifications. Circuits designed by artificial evolution can exhibit very different inherent qualities to those designed by humans using conventional techniques. It is argued that some inherent qualities arising from the evolutionary approach can be beneficial if they are understood. As a case study, the paper seeks to determine the underlying mechanisms that produce one possible inherent quality, ‘Populational Fault Tolerance’, by using various strategies including the observation of constituent components used throughout evolutionary history. The strategies are applied to over 80 evolved circuits and provide strong evidence to support an hypothesis — that Population Fault Tolerance arises from the incremental nature of the evolutionary design process. The hypothesis is used to predict whether a given fault should manifest the quality, and is accurate in over 80% of cases.

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References

  1. Avizienis, A.: Toward Systematic Design of Fault-Tolerant Systems, IEEE Computer, Comp. Soc. Press, (April 1997) pp.51–58

    Google Scholar 

  2. Barnett, L.: Riggedness and Neutrality — The NKp Family of Fitness Landscapes, Proc, 6 th Int. Conference on Artificial Life. MIT Press. (1998) pp.18–27

    Google Scholar 

  3. Dittrich, P., Burgel, A., Banzhaf, W.: Learning to Move a Robot with Random Morphology. In Husbands & Meyer (Eds.) Proc. 1st Eur. Workshop, EvoRobot98, Vol. 1478 of LNCS. Springer-Verlag. 1998. pp 165–178.

    Google Scholar 

  4. Kajitani, I., Hoshino, T., Nishikawa, D. et al.: A Gate-Level EHW Chip: Implementing GA Operations and Reconfigurable Hardware on a Single LSI. In Sipper, M., Mange, D., Perez-Uribe, A. (Eds.). Proc. 2nd Int. Conf. on Evolvable Systems: From Biology to Hardware, Vol. 1478 of LNCS. Springer-Verlag. (1998). pp.1–12.

    Chapter  Google Scholar 

  5. Kauffman, S.: The Origins of Order. Oxford University Press. (1993).

    Google Scholar 

  6. Higuchi, T. and Kajihara, N.: Evolvable Hardware Chips for Industrial Applications. In Yao, X. (Ed.). Communications of the ACM. Vol. 42, no. 4. (April 1999). pp. 60–66.

    Google Scholar 

  7. Layzell, P.: A New Research Tool for Intrinsic Hardware Evolution. In Sipper, M., Mange, D., Perez-Uribe, A. (Eds.). Proc. 2nd Int. Conf. on Evolvable Systems: From Biology to Hardware, Vol. 1478 of LNCS. Springer-Verlag. (1998). pp.47–56.

    Google Scholar 

  8. Layzell, P.: Reducing Hardware Evolution’s Dependency on FPGAs. Proc. 7 th Int. Conf. Microelectronics for Neural, Fuzzy, and Bio-Inspired Systems. IEEE Computer Society, CA. (April 1999). pp171–8.

    Google Scholar 

  9. Layzell, P.: Inherent Qualities of Circuits Designed by Artificial Evolution: A Preliminary Study of Populational Fault Tolerance. In Stoica, A., Keymeulen, D., Lohn, J. (Eds.) Proc. 1 st NASA/DOD Workshop on Evolvable Hardware. IEEE Comp. Soc. Press (1999) pp.85–86.

    Google Scholar 

  10. Miller, J. and Thomson, P.: Aspects of Digital Evolution: Geometry and Learning. In Sipper, M., Mange, D., Perez-Uribe, A. (Eds.). Proc. 2 nd Int. Conf. on Evolvable Systems: From Biology to Hardware, Vol. 1478 of LNCS. Springer-Verlag. (1998). pp.25–35.

    Google Scholar 

  11. Ortega, C., Tyrell, A.: Reliability Analysis in Self-Repairing Embryonic Systems. Proc. 1 st NASA/DOD Workshop on Evolvable Hardware. IEEE Comp. Soc. Press (1999) pp.85–86.

    Google Scholar 

  12. Sipper, M., Mange, D., Perez-Uribe, A. (Eds.): Proc. 2nd Int. Conf. on Evolvable Systems: From Biology to Hardware, Vol. 1478 of LNCS. Springer-Verlag. (1998).

    Google Scholar 

  13. Thompson, A.: Evolving fault tolerant systems. In Proc. 1st IEE/IEEEE Int. Conf. On Genetic Algorithms in Engineering Systems: Innovations and Applications (GALESIA’ 95),. IEE Conf. Publication No. 414. (1995a) 524–529

    Google Scholar 

  14. Thompson, A. & Layzell, P.: Analysis of Unconventional Evolved Electronics. In Yao, X. (Ed.).Communications of the ACM. Vol. 42, no. 4. (April 1999). pp. 71–79.

    Google Scholar 

  15. Thompson, A., Layzell, P., Zebulum, R.: Explorations in Design Space: Unconventional Electronics Design Through Artificial Evolution. IEEE Trans. Evolutionary Computation, vol. 3, no. 3. (Sept. 1999) pp.167–196

    Article  Google Scholar 

  16. Van Nimwegen, E., Crutchfield, J., Mitchell, M.: Statistical Dynamics of the Royal Road Genetic Algorithm. In Eiben, E. Rudolph, G. (Eds) Special Issue on Evolutionary Computation, Theoretical Computer Science, 229. (1999), pp.41–102.

    Google Scholar 

  17. Vassilev, V., Miller, J., Fogarty, T.: Digital Circuit Evolution and Fitness Landscapes. In Proc. Congress on Evolutionary Computation, Piscataway, NJ. IEEE Press. (1999)

    Google Scholar 

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Layzell, P., Thompson, A. (2000). Understanding Inherent Qualities of Evolved Circuits: Evolutionary History as a Predictor of Fault Tolerance. In: Miller, J., Thompson, A., Thomson, P., Fogarty, T.C. (eds) Evolvable Systems: From Biology to Hardware. ICES 2000. Lecture Notes in Computer Science, vol 1801. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46406-9_14

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  • DOI: https://doi.org/10.1007/3-540-46406-9_14

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67338-5

  • Online ISBN: 978-3-540-46406-8

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