- Paperback: 200 pages
- Publisher: Springer; 1st Edition. edition (26 Sep 2001)
- Language English
- ISBN-10: 1852334754
- ISBN-13: 978-1852334758
- Product Dimensions: 23.4 x 15.7 x 1.4 cm
- Average Customer Review: 5.0 out of 5 stars See all reviews (1 customer review)
- Amazon Bestsellers Rank: 3,473,443 in Books (See Top 100 in Books)
- See Complete Table of Contents
Turing's Connectionism
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More About the Author
Product Description
Product Description
Christof Teuscher revives, analyzes, and simulates Turing's ideas, applying them to different types of problems, and building and training Turing's machines using evolutionary algorithms. In a little known paper entitled 'Intelligent Machinery' Turing investigated connectionist networks, but his work was dismissed as a 'schoolboy essay'and it was left unpublished until 1968, 14 years after his death. This is not a book about today's (classical) neural networks, but about the neuron network-like structures proposed by Turing. One of its novel features is that it actually goes beyond Turing's ideas by proposing new machines. The book also contains a Foreward by B. Jack Copeland and D. Proudfoot.
Inside This Book
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First Sentence
It was in 1948 that Alan Turing wrote a little-known report entitled "Intelligent Machinery" [192, 195]. Read the first page
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
It was in 1948 that Alan Turing wrote a little-known report entitled "Intelligent Machinery" [192, 195]. Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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Most Helpful Customer Reviews
2 of 2 people found the following review helpful:
5.0 out of 5 stars
Turing’s neural networks and genetical search,
By
This review is from: Turing's Connectionism: An Investigation of Neural Network Architectures (Discrete Mathematics and Theoretical Computer Science) (Paperback)
A programmable digital computer, based on Alan Turing’s design, ran its first program in 1950 at the National Physical Laboratory, London. Even today, every computer in the world remains computationally equivalent to a Turing Machine. It is little known however, that Turing also investigated neural network architectures as early as 1948, and before the term genetic algorithm was coined, proposed configuring his networks with a "genetical search". In this book Teuscher presents the most extensive exploration of Turing’s neural networks available. The book contains over 100 diagrams, detailed examinations of the logical behaviour of Turing’s networks, experiments into their emergent properties and extensions of Turing’s ideas based on recent findings. An understanding of Turing’s networks allows insight into a number of modern research areas such as Kauffman’s work on the principles of self-organisation, the boundaries of computability, and even the real neural networks of living things (Turing claimed that his neural networks were probably the simplest possible model of the human cortex). Because the discussion in the book starts with Turing’s early networks and progresses through to current research, it can also be read as an accessible overview of the history of the field. In addition, the book makes it clear that there are many interesting research questions still to be answered in this area. As such, this book will be of interest to historians of computer science and modern researchers alike.
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5.0 out of 5 stars (1 customer review) 5 of 5 people found the following review helpful:
5.0 out of 5 stars
Turing's neural networks and genetical search,
By C. S. Webster - Published on Amazon.com
This review is from: Turing's Connectionism: An Investigation of Neural Network Architectures (Discrete Mathematics and Theoretical Computer Science) (Paperback)
A programmable digital computer, based on Alan Turing's design, ran its first program in 1950 at the National Physical Laboratory, London. Even today, every computer in the world remains computationally equivalent to a Turing Machine. It is little known however, that Turing also investigated neural network architectures as early as 1948, and before the term genetic algorithm was coined, proposed configuring his networks with a "genetical search". In this book Teuscher presents the most extensive exploration of Turing's neural networks available. The book contains over 100 diagrams, detailed examinations of the logical behaviour of Turing's networks, experiments into their emergent properties and extensions of Turing's ideas based on recent findings. An understanding of Turing's networks allows insight into a number of modern research areas such as Kauffman's work on the principles of self-organisation, the boundaries of computability, and even the real neural networks of living things (Turing claimed that his neural networks were probably the simplest possible model of the human cortex). Because the discussion in the book starts with Turing's early networks and progresses through to current research, it can also be read as an accessible overview of the history of the field. In addition, the book makes it clear that there are many interesting research questions still to be answered in this area. As such, this book will be of interest to historians of computer science and modern researchers alike.
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