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

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发表于 2025-3-21 16:55:12 | 显示全部楼层 |阅读模式
期刊全称Brains, Machines, and Mathematics
影响因子2023Michael A. Arbib
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图书封面Titlebook: Brains, Machines, and Mathematics;  Michael A. Arbib Book 1987Latest edition Springer-Verlag New York Inc. 1987 artificial intelligence.aut
影响因子This is a book whose time has come-again. The first edition (published by McGraw-Hill in 1964) was written in 1962, and it celebrated a number of approaches to developing an automata theory that could provide insights into the processing of information in brainlike machines, making it accessible to readers with no more than a college freshman‘s knowledge of mathematics. The book introduced many readers to aspects of cybernetics-the study of computation and control in animal and machine. But by the mid-1960s, many workers abandoned the integrated study of brains and machines to pursue artificial intelligence (AI) as an end in itself-the programming of computers to exhibit some aspects of human intelligence, but with the emphasis on achieving some benchmark of performance rather than on capturing the mechanisms by which humans were themselves intelligent. Some workers tried to use concepts from AI to model human cognition using computer programs, but were so dominated by the metaphor "the mind is a computer" that many argued that the mind must share with the computers of the 1960s the property of being serial, of executing a series of operations one at a time. As the 1960s became the
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发表于 2025-3-21 21:42:01 | 显示全部楼层
978-1-4612-9153-4Springer-Verlag New York Inc. 1987
发表于 2025-3-22 01:02:40 | 显示全部楼层
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
发表于 2025-3-23 03:08:11 | 显示全部楼层
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.
发表于 2025-3-23 07:55:24 | 显示全部楼层
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
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