Genetic Programming: Artificial Nervous Systems, Artificial Embryos and Embryological Electronics
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This paper shows that it is possible to build hyper-complex systems such as an artificial nervous system or an artificial embryo, despite the fact that their interactions or dynamics are (probably) too complicated to be analyzed. Genetic Programming (GP) is "applied evolution", i.e. using the Genetic Algorithm (GA) [GOLDBERG 1989] to evolve hyper-complex systems. Future work using the GP paradigm will probably lead to electronic circuits being "grown" in (and having their functionality tested in) special hardware called "Darwin Machines", thus creating a new field called "Embryonics" (i.e. Embryological Electronics).
[1] Hugo de Garis,et al. Genetic Programming , 1990, ML.
[2] Branko Soucek. Neural and Intelligent Systems Integration , 1991 .
[3] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[4] H. D. Garis. The Genetic Programming of an Artificial Embryo , 1992 .