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Amazon.co.uk
Whether they think it's impossible or inevitable, most people have highly polarised views on artificial intelligence. John von Neumann, genius, mathematician and inventor of the nearly ubiquitous computer architecture bearing his name, blazed trails for both camps in The Computer and the Brain.
This short book, originally written for Yale's Silliman lectures but published posthumously, summarises his views on machine and biological intelligence with unprecedented clarity and precision. His understanding of neuroscience was that of a brilliant and strongly motivated amateur at the end of the 1950s, good enough to take on the problem but by no means matching his comprehension of the machines to which he had devoted much of his professional life. Still, his take on intracranial computation is stunningly prescient--he looks beyond the then-fashionable digital metaphors to suggest a semi-analogue strategy that uses parallel processing to make up for its deficiency in speed.
Prominent neuroscientific thinkers Paul M. Churchland and Patricia S. Churchland provide a brief, enlightening foreword to the second edition, placing the author's thinking in context and grounding the reader in the scientific milieu that gave rise to The Computer and the Brain. Though his computer architecture is slowly growing obsolete, von Neumann has given us a more lasting legacy in his thinking about thinking. --Rob Lightner -- Dieser Text bezieht sich auf eine andere Ausgabe: Taschenbuch .
Amazon.com
Whether they think that artificial intelligence is impossible or inevitable, most people have highly polarized views on it. John von Neumann, genius, mathematician, and inventor of the nearly ubiquitous computer architecture that bears his name, blazed trails for both camps in The Computer and the Brain. This short book, which was written originally for Yale's Silliman lectures, but published posthumously, summarizes his views on machine and biological intelligence with unprecedented clarity and precision. His understanding of neuroscience was that of a brilliant and strongly motivated amateur at the end of the 1950s--good enough to take on the problem, but by no means matching his comprehension of the machines to which he had devoted much of his professional life. Still, his take on intracranial computation is stunningly prescient--he looks beyond the then-fashionable digital metaphors to suggest a semi-analog strategy that uses parallel processing to make up for its deficiency in speed. Prominent neuroscientific thinkers Paul M. Churchland and Patricia S. Churchland provide a brief, enlightening foreword to this second edition, placing the author's thinking in context and grounding the reader in the scientific milieu that gave rise to The Computer and the Brain. Although his computer architecture slowly is growing obsolete, von Neumann has given us a more lasting legacy in his thinking about thinking. --Rob Lightner
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I begin by discussing some of the principles underlying the systematics and the practice of computing machines. Lesen Sie die erste Seite
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I begin by discussing some of the principles underlying the systematics and the practice of computing machines. Lesen Sie die erste Seite
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4 von 4 Kunden fanden die folgende Rezension hilfreich:
4.0 von 5 Sternen
A great book for exploring the human brain as computer model,
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Rezension bezieht sich auf: The Computer and the Brain (Silliman Lectures Series) (Taschenbuch)
A book for a limited audience. You have got to be interested in some really seminal, currently unresolved issues of how the great invention of the ALU (arithmetic logic unit) still employed in every computer built to the present day, was a compromise effort by this genius. His thought was to model the human brain, and the ALU succeeded in modeling just a small part, but he was totally frustrated and unsatisfied by the result--for good reason. He points out that the very language of the human brain has not yet been discovered--the orders of magnitude by which its process and results exceed the merely digital high speed comparator we call a computer (my apologies to Bill Gates!) clearly demonstrate the existence of a logic and a mathematics, the simplest rules of which as yet defy all our efforts to understand its workings, while we experience its results every time we think. Depth of logical levels, and depth of arithmetic levels necessary to achieve the requisite results we obtain from our Crays and our PCs are scorned by the human brain in a radical simplicity as yet undiscovered (not in that it does it, but in how it does it: therefore he postulates the existence of a radically, essentially different math and logic inherent in its workings). He lays out the discoveries of Turing, McCullough and Weiner in a brilliant tour de force of known (1955)neurological and cybernetic discoveries, and how they charted his course in creating the ALU. He compares analog and digital and mixed models of computing but (in my opinion) oversimplifies the digital aspect of thinking and memory, deeming them to be the route used by the human brain in performing its unruffled magic. He closes by posing two questions that express the wonderment faced by a high level intelligence when accosted by the facts he was unable to wrap mental arms around: 1)"what essential inferences about the arithmetical and logical structure of the computing machine that the nervous system represents can be drawn from these ...conflicting observations? and 2)what are the logics and mathematics in the central nervous system [that must be]structurally *essentially* different from those languages to which our common experience refers? His fellow researcher, Warren McCullough similarly closed out his life and research by repeating a question that plagued him all his life: What is a number, that a man can know it, and a man that he can know a number?This is a great book that pushed the limits of his time; his swan song, to be delivered as the Yale Silliman lecture, but never was, due to Von Neumann's tragic untimely death in his early fifties. Helfen Sie anderen Kunden bei der Suche nach den hilfreichsten Rezensionen
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