Alan Turing: Life and Legacy of a Great Thinker


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Notable contributions come from the philosopher Daniel Dennett , the Turing biographer Andrew Hodges , and the distinguished logician Martin Davis , who provides a first critical essay on an emerging and controversial field termed hypercomputation. A special feature of the book is the play by Valeria Patera which tackles the scandal surrounding the last apple, and presents as an enigma the life, death and destiny of the man who did so much to decipher the Enigma code during the Second World War. Other chapters contain modern reappraisals of Turing's work on computability, and tackle the major philosophical questions raised by the Turing Test, while the book also contains essays dealing with his less well-known ideas on Fibonacci phyllotaxis and connectionism.

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Book Description

This book is the definitive collection of commemorative essays, and the distinguished contributors have expertise in such diverse fields as artificial intelligence, natural computing, mathematics, physics, cryptology, cognitive studies, philosophy and anthropology. The volume spans the entire rich spectrum of Turing's life, research work and legacy.

New light is shed on the future of computing science by visionary Ray Kurzweil.

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Notable contributions come from the philosopher Daniel Dennett, the Turing biographer Andrew Hodges, and the distinguished logician Martin Davis, who provides a first critical essay on an emerging and controversial field termed hypercomputation. A special feature of the book is the play by Valeria Patera which tackles the scandal surrounding the last apple, and presents as an enigma the life, death and destiny of the man who did so much to decipher the Enigma code during the Second World War.

Other chapters are modern reappraisals of Turing's work on computability, and deal with the major philosophical questions raised by the Turing Test, while the book also contains essays addressing his less well-known ideas on Fibonacci phyllotaxis and connectionism.


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Christof Teuscher - Wikipedia

Ort optional. Bewertung abgeben. Mehr entdecken aus dem Bereich. Quantum Computing verstehen. One popular way of depicting what Turing did is to say that he showed us how rationality itself can be, in the sense just described, mechanically possible. This is the view favoured by, for example, Jerry Fodor.


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The story goes like this. Formal logic shows us that we can preserve truth simply by attending to form, not meaning.

If we keep to certain rules we will never infer a falsehood from true premises, even if we have no idea what either the premises or the conclusions are about. Turing, as Fodor likes to remind us, effectively showed that for all such formally specifiable routines, a well-programmed machine could replace a human being. The idea, enshrined in the research programme of classical Artificial Intelligence, was that reason could be mechanically explained in terms of computational processes performed on symbols.

This was the view that found full expression in early work in Artificial Intelligence. Considered as a just-so story exposing the mechanical possibility of reason-guided thought, this early approach had a satisfying directness. As a result, form-sensitive processes and encodings of potentially relevant information can regulate processes of inference in ways that respect the rational relations between thoughts.

The trouble is that all this is built on an uncomfortably narrow view of real-world rationality. Even if we grant that in some way or other, just as Turing believed, sensitivity to form, not meaning, is at the root of all intelligent behaviour, and that the limits of Universal Turing Machine computability are the limits of computability itself, the question of how the activity of real brains supports intelligent behaviour remains wide open. Moreover, as Fodor is the first to admit, the resulting call it Fodor-Turing model of real-world rational inference is uncomfortably local.

Since even the decision to use an umbrella in the rain is potentially sensitive to countervailing information coming from anywhere in the knowledge base, we are left with a model of mechanical rationality which has depressingly little to say about most forms of genuine but non-deductive reasoning.

Christof Teuscher

Hardly the seat of reason. The Universal Turing Machine is thus a model not of what goes on inside the individual brain, but of the kinds of symbol-based problem-solving that people typically perform in the real world: the process of breaking a problem up into parts, applying rules, inscribing the results onto a static external medium paper , and repeating the procedure again and again. On the other hand, we should be alert to the importance, for any such account, of the role and importance of human-constructed symbols and stable, non-biological media: speech, pen, paper and all the artefacts that aid the activity of the biological brain.

Alan Turing: Life and Legacy of a Great Thinker Alan Turing: Life and Legacy of a Great Thinker
Alan Turing: Life and Legacy of a Great Thinker Alan Turing: Life and Legacy of a Great Thinker
Alan Turing: Life and Legacy of a Great Thinker Alan Turing: Life and Legacy of a Great Thinker
Alan Turing: Life and Legacy of a Great Thinker Alan Turing: Life and Legacy of a Great Thinker
Alan Turing: Life and Legacy of a Great Thinker Alan Turing: Life and Legacy of a Great Thinker
Alan Turing: Life and Legacy of a Great Thinker Alan Turing: Life and Legacy of a Great Thinker

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