Turing Machines, Finite Automata and Neural Nets

  • Authors:
  • Michael Arbib

  • Affiliations:
  • Massachusetts Institute of Technology, Cambridge, Mass and Sydney, Australia

  • Venue:
  • Journal of the ACM (JACM)
  • Year:
  • 1961

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Abstract

This paper1 compares the notions of Turing machine, finite automaton and neural net. A new notation is introduced to replace net diagrams. “Equivalence” theorems are proved for nets with receptors, and finite automata; and for nets with receptors and effectors, and Turing machines. These theorems are discussed in relation to papers of Copi, Elgot and Wright; Rabin and Scott; and McCulloch and Pitts. It is shown that sets of positive integers “accepted” by finite automata are recursive; and a strengthened form of a theorem of Kleene is proved.