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.
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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.
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.
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.
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.
M. Sipper. Evolution of Parallel Cellular Machines The Cellular Programming Approach. Springer-Verlag, 1997.
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.
F. Gruau and D. Whitley. Adding learning to the cellular development of neural networks: Evolution and the baldwin effect. Journal of Evolutionary Computation, 1993.
J. Koza. Genetic Programming. The MIT Press, 1993.
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.
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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
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DOI: https://doi.org/10.1007/3-540-36553-2_7
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