Discrete Mathematics and Theoretical Computer Science : An Investigation of Neural Network Architectures - Christof Teuscher

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Discrete Mathematics and Theoretical Computer Science

An Investigation of Neural Network Architectures

By: Christof Teuscher

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Paperback | 26 September 2001

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230 Pages

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22.86 x 15.24 x 1.27

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Alan Mathison Turing (1912-1954) was the first to carry out substantial re- search in the field now known as Artificial Intelligence (AI). He was thinking about machine intelligence at least as early as 1941 and during the war cir- culated a typewritten paper on machine intelligence among his colleagues at the Government Code and Cypher School (GC & CS), Bletchley Park. Now lost, this was undoubtedly the earliest paper in the field of AI. It probably concerned machine learning and heuristic problem-solving; both were topics that Turing discussed extensively during the war years at GC & CS, as was mechanical chess 121]. In 1945, the war in Europe over, Turing was recruited by the National Physical Laboratory (NPL) in London, his brief to design and develop an electronic stored-program digital computer-a concrete form of the universal Turing machine of 1936 185]. Turing's technical report "Proposed Electronic 2 Calculator", dating from the end of 1945 and containing his design for the Automatic Computing Engine (ACE), was the first relatively complete spec- ification of an electronic stored-program digital computer 193,197]. (The document "First Draft of a Report on the EDVAC", produced by John von Neumann and the Moore School group at the University of Pennsylvania in May 1945, contained little engineering detail, in particular concerning elec- tronic hardware 202].

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Non-Fiction Computing & I.T.Computer Science Artificial Intelligence Neural Networks & Fuzzy Systems Computer Networking & Communications Computer Architecture & Logic Design Computer Hardware

Foreword
Introduction: Turing's Anticipation of Connectionism
Alan Mathison Turing
Connectionism and Artificial Neural Networks
Historical Context and Related Work
Organization of the Book
Book Web-Site
Intelligent Machinery: Machines
Turing's Unorganized Machines
Formalization and Analysis of Unorganized Machines
New Unorganized Machines
Simulation of TBI-type Machines with Matlab
Synthesis of Logical Functions and Digital Systems with Turing Networks: Combinational versus Sequential Systems
Synthesis of Logical Functions with A-type Networks
Synthesis of Logical Functions with TB-type Networks
Multiplexer and Demultiplexer
Delay-Unit
Shift-Register
How to Design Complex Systems
Hardware Implementation
Organizing Unorganized Machines: Evolutionary Algorithms
Evolutionary Artificial Neural Networks
Example: Evolve Networks that Regenerate Bitstreams
Signal Processing in Turing Networks
Pattern Classification
Examples: Pattern Classification with Genetic Algorithms
A Learning Algorithm for Turing Networks
Network Properties and Characteristics: General Properties
Computational Power
State Machines
Threshold Logic
Dynamical Systems and the State-Space Model
Random Boolean Networks
Attractors
Network Stability and Activity
Chaos, Bifurcation, and Self-Organized Criticality
Topological Evolution and Self-Organization
Hypercomputation: Computing Beyond the Turing Limit with Turing's Neural Networks?
Epilogue
Table of Contents provided by Publisher. All Rights Reserved.

Discrete Mathematics and Theoretical Computer Science

An Investigation of Neural Network Architectures

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Paperback

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