Titlebook: Brains, Machines, and Mathematics; Michael A. Arbib Book 1987Latest edition Springer-Verlag New York Inc. 1987 artificial intelligence.aut

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978-1-4612-9153-4Springer-Verlag New York Inc. 1987

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Probabilistic hierarchical structures,nimal and the machine.” In a sense, then, all of the present book can be subsumed under the heading of “cybernetics.” However, in this section we will be primarily interested in feedback and related issues in control theory, which form one of the central themes discussed by Wiener in his book.

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Neural Nets and Finite Automata,I want to start by giving a very sketchy account of neurophysiology—merely sufficient as a basis for our first mathematical model. We may regard the human nervous system as a three-stage system as shown in Figure 2.1.

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Macrosystems: Definitions and examples,iefly some of that history. Section 1, The Road to 1943, traces the story to 1943, which saw the publication of three remarkable papers: McCulloch and Pitts giving a logical theory of neural networks; Rosenbleuth, Wiener, and Bigelow asserting that a machine with feedback is imbued with purpose; whi

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Probabilistic hierarchical structures,nimal and the machine.” In a sense, then, all of the present book can be subsumed under the heading of “cybernetics.” However, in this section we will be primarily interested in feedback and related issues in control theory, which form one of the central themes discussed by Wiener in his book.

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Macrosystems Theory and its Applications symbol-manipulation approach to linguistics, and had rather little contact with work in brain theory. However, there is now a growing interest in what is called the connectionist approach or Parallel Distributed Processing (PDP), the study of ways in which simple units may be interconnected to solv