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Unorganized Machines: From Turing’s Ideas to Modern Connectionist Approaches

Author

Listed:
  • Levy Boccato

    (University of Campinas (UNICAMP), Brazil)

  • Everton S. Soares

    (University of Campinas (UNICAMP), Brazil)

  • Marcos M. L. P. Fernandes

    (Faculdade de Engenharia de Sorocaba (FACENS), Brazil)

  • Diogo C. Soriano

    (Federal University of ABC (UFABC), Brazil)

  • Romis Attux

    (University of Campinas (UNICAMP), Brazil)

Abstract

This work presents a discussion about the relationship between the contributions of Alan Turing – the centenary of whose birth is celebrated in 2012 – to the field of artificial neural networks and modern unorganized machines: reservoir computing (RC) approaches and extreme learning machines (ELMs). Firstly, the authors review Turing’s connectionist proposals and also expose the fundamentals of the main RC paradigms – echo state networks and liquid state machines, - as well as of the design and training of ELMs. Throughout this exposition, the main points of contact between Turing’s ideas and these modern perspectives are outlined, being, then, duly summarized in the second and final part of the work. This paper is useful in offering a distinct appreciation of Turing’s pioneering contributions to the field of neural networks and also in indicating some perspectives for the future development of the field that may arise from the synergy between these views.

Suggested Citation

  • Levy Boccato & Everton S. Soares & Marcos M. L. P. Fernandes & Diogo C. Soriano & Romis Attux, 2011. "Unorganized Machines: From Turing’s Ideas to Modern Connectionist Approaches," International Journal of Natural Computing Research (IJNCR), IGI Global, vol. 2(4), pages 1-16, October.
    • Handle: RePEc:igg:jncr00:v:2:y:2011:i:4:p:1-16
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