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Genetic programming artificial nervous systems artificial embryos and embryological electronics

  • Genetic Algorithms
  • Conference paper
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Book cover Parallel Problem Solving from Nature (PPSN 1990)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 496))

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Abstract

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).

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References

  1. "Genetic Programming: Building Artificial Nervous Systems Using Genetically Programmed Neural Network Moduels", Proceedings 7th. Int. Conf. on Machine Learning, Austin Texas, June 1990, Morgan Kaufmann, 1990.

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  2. "Genetic Programming", Chapter 15, in book, "Neural and Intelligent Systems Integration", ed. Prof. Branko Soucek, WILEY, 1991.

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  3. “Genetic Algorithms in Search, Optimization, and Machine Learning”, D.E. Goldberg, Addison-Wesley, 1989.

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Author information

Authors and Affiliations

  1. CADEPS Artificial Intelligence and Artificial Life Research Unit, Universite Libre de Bruxelles (U.L.B.), Ave F.D. Roosevelt 50, C.P. 194/7, B-1050, Brussels, Belgium, Europe

    Hugo de Garis

  2. Center for Artificial Intelligence, George Mason University, 4400 University Drive, Fairfax, 22030, Virginia, VA, USA

    Hugo de Garis

Authors
  1. Hugo de Garis
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Editor information

Hans-Paul Schwefel Reinhard Männer

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© 1991 Springer-Verlag Berlin Heidelberg

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de Garis, H. (1991). Genetic programming artificial nervous systems artificial embryos and embryological electronics. In: Schwefel, HP., Männer, R. (eds) Parallel Problem Solving from Nature. PPSN 1990. Lecture Notes in Computer Science, vol 496. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0029741

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  • DOI: https://doi.org/10.1007/BFb0029741

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-54148-6

  • Online ISBN: 978-3-540-70652-6

  • eBook Packages: Springer Book Archive

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