Turing's Connectionism An Investigation of Neural Network Architectures 的封面图片
Turing's Connectionism An Investigation of Neural Network Architectures
题名:
Turing's Connectionism An Investigation of Neural Network Architectures
ISBN:
9781447101611
版:
1st ed. 2002.
PRODUCTION_INFO:
London : Springer London : Imprint: Springer, 2002.
物理描述:
XXIV, 200 p. 9 illus. online resource.
系列:
Discrete Mathematics and Theoretical Computer Science
内容:
1. Introduction -- 1.1 Turing's Anticipation of Connectionism -- 1.2 Alan Mathison Turing -- 1.3 Connectionism and Artificial Neural Networks -- 1.4 Historical Context and Related Work -- 1.5 Organization of the Book -- 1.6 Book Web-Site -- 2. Intelligent Machinery -- 2.1 Machines -- 2.2 Turing's Unorganized Machines -- 2.3 Formalization and Analysis of Unorganized Machines -- 2.4 New Unorganized Machines -- 2.5 Simulation of TBI-type Machines with MATLAB -- 3. Synthesis of Logical Functions and Digital Systems with Turing Networks -- 3.1 Combinational versus Sequential Systems -- 3.2 Synthesis of Logical Functions with A-type Networks -- 3.3 Synthesis of Logical Functions with TB-type Networks -- 3.4 Multiplexer and Demultiplexer -- 3.5 Delay-Unit -- 3.6 Shift-Register -- 3.7 How to Design Complex Systems -- 3.8 Hardware Implementation -- 4. Organizing Unorganized Machines -- 4.1 Evolutionary Algorithms -- 4.2 Evolutionary Artificial Neural Networks -- 4.3 Example: Evolve Networks that Regenerate Bitstreams -- 4.4 Signal Processing in Turing Networks -- 4.5 Pattern Classification -- 4.6 Examples: Pattern Classification with Genetic Algorithms -- 4.7 A Learning Algorithm for Turing Networks -- 5. Network Properties and Characteristics -- 5.1 General Properties -- 5.2 Computational Power -- 5.3 State Machines -- 5.4 Threshold Logic -- 5.5 Dynamical Systems and the State-Space Model -- 5.6 Random Boolean Networks -- 5.7 Attractors -- 5.8 Network Stability and Activity -- 5.9 Chaos, Bifurcation, and Self-Organized Criticality -- 5.10 Topological Evolution and Self-Organization -- 5.11 Hypercomputation: Computing Beyond the Turing Limit with Turing's Neural Networks? -- 6. Epilogue -- Useful Web-Sites -- List of Figures -- List of Tables -- List of Examples, Theorems, Definitions, Propositions, and Corollaries.
摘要:
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].
附加团体著者:
语言:
英文