Turing's Connectionism : an Investigation of Neural Network Architectures (eBook, 2002) [WorldCat.org]
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Turing's Connectionism : an Investigation of Neural Network Architectures

Author: Christof Teuscher
Publisher: London : Springer London, 2002.
Series: Discrete mathematics and theoretical computer science.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
Turing's connectionism provides a detailed and in-depth analysis of Turing's almost forgotten ideas on connectionist machines. In a little known paper entitled "Intelligent Machinery", Turing already investigated connectionist models as early as 1948. Unfortunately, his work was dismissed by his employer as a "schoolboy essay" and went unpublished until 1968, 14 years after his death. In this book, Christof Teuscher  Read more...
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Details

Genre/Form: Electronic books
Additional Physical Format: Print version:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Christof Teuscher
ISBN: 9781447101611 1447101618
OCLC Number: 853258570
Language Note: English.
Description: 1 online resource (xxiv, 200 pages)
Contents: Introduction --
Intelligent Machinery --
Synthesis of logical functions and digital systems with Turing networks --
Organizing unorganized machines --
Network Properties and characteristics --
Epilogue.
Series Title: Discrete mathematics and theoretical computer science.
Responsibility: by Christof Teuscher.

Abstract:

Turing's connectionism provides a detailed and in-depth analysis of Turing's almost forgotten ideas on connectionist machines. In a little known paper entitled "Intelligent Machinery", Turing already investigated connectionist models as early as 1948. Unfortunately, his work was dismissed by his employer as a "schoolboy essay" and went unpublished until 1968, 14 years after his death. In this book, Christof Teuscher analyzes all aspects of Turing's "unorganized machines". Turing himself also proposed a sort of genetic algorithm to train the networks. This idea has been resumed by the author and genetic algorithms are used to build and train Turing's unorganized machines. Teuscher's work starts from Turing's initial ideas, but importantly goes beyond them. Many new kinds of machines and new aspects are considered, e.g., hardware implementation, analysis of the complex dynamics of the networks, hypercomputation, and learning algorithms

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