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Hardcover. Zustand: Very Good. 8vo, hardcover. No dj. Vg+ condition. Single non-circulating ex-lib stamp on 1 early pg (only marking), contents bright, crisp & clean, unread. xxii, 388 p., illus. Proceedings of the International School on Neural Nets "E.R. Caianiello" Fifth Course, held February 25 - March 7, 2002, in Erice, Sicily, Italy.

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Taschenbuch. Zustand: Neu. From Synapses to Rules | Discovering Symbolic Rules from Neural Processed Data | Franz Kurfess (u. a.) | Taschenbuch | xxiii | Englisch | 2012 | Springer | EAN 9781461352044 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - One high-level ability of the human brain is to understand what it has learned. This seems to be the crucial advantage in comparison to the brain activity of other primates. At present we are technologically almost ready to artificially reproduce human brain tissue, but we still do not fully understand the information processing and the related biological mechanisms underlying this ability. Thus an electronic clone of the human brain is still far from being realizable. At the same time, around twenty years after the revival of the connectionist paradigm, we are not yet satisfied with the typical subsymbolic attitude of devices like neural networks: we can make them learn to solve even difficult problems, but without a clear explanation of why a solution works. Indeed, to widely use these devices in a reliable and non elementary way we need formal and understandable expressions of the learnt functions. of being tested, manipulated and composed with These must be susceptible other similar expressions to build more structured functions as a solution of complex problems via the usual deductive methods of the Artificial Intelligence. Many effort have been steered in this directions in the last years, constructing artificial hybrid systems where a cooperation between the sub symbolic processing of the neural networks merges in various modes with symbolic algorithms. In parallel, neurobiology research keeps on supplying more and more detailed explanations of the low-level phenomena responsible for mental processes.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - One high-level ability of the human brain is to understand what it has learned. This seems to be the crucial advantage in comparison to the brain activity of other primates. At present we are technologically almost ready to artificially reproduce human brain tissue, but we still do not fully understand the information processing and the related biological mechanisms underlying this ability. Thus an electronic clone of the human brain is still far from being realizable. At the same time, around twenty years after the revival of the connectionist paradigm, we are not yet satisfied with the typical subsymbolic attitude of devices like neural networks: we can make them learn to solve even difficult problems, but without a clear explanation of why a solution works. Indeed, to widely use these devices in a reliable and non elementary way we need formal and understandable expressions of the learnt functions. of being tested, manipulated and composed with These must be susceptible other similar expressions to build more structured functions as a solution of complex problems via the usual deductive methods of the Artificial Intelligence. Many effort have been steered in this directions in the last years, constructing artificial hybrid systems where a cooperation between the sub symbolic processing of the neural networks merges in various modes with symbolic algorithms. In parallel, neurobiology research keeps on supplying more and more detailed explanations of the low-level phenomena responsible for mental processes.

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Leinen. Zustand: Gut. EA. 90 S. Mit 19 Bildern und Schutzumschlag. Selten! Widmungseinkleber der HJ-Motor-Gefolgschaft 3/107 Leipzig-Süden. Nach Mitteilungen seines Vaters und seiner Geschwister unter besonderer Berücksichtigung seiner Jugendzeit. Umschlag randrissig. Altersübliche Gebrauchs- und Lagerspuren. Gut erhalten. Sprache: Deutsch Gewicht in Gramm: 800.

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Zustand: Befriedigend. 78 S. ; kl. 8 Aus Privatbibliothek ohne Eintragungen, Kennzeichnungen oder Unterstreichungen; aubere, helle, leicht gebräunte Seiten; Buchrücken oben und unten beschädigt 200200674 Sprache: Deutsch Gewicht in Gramm: 70 Heft mit Fadenheftung kart. 19 x 12.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The potential of parallelism in logic reaches far beyond the exploitation of AND- and OR-parallelism usually found in attempts to parallelize PROLOG. This book discusses parallelism in logic and its exploitation on parallel architectures. A variety of categories of parallelism is discussed with respect to different levels of a logical formula and different ways to evaluate it. As an outcome of these investigations it is shown that modularity allows s tructuring of logic programs and meta-evaluation can be used to c ontrol the evaluation process on a parallel system. This combinat ion yields a consistent programming framework with a wide scope. Finally, the suitability of a specific evaluation mechanism for p arallel architectures is investigated.

Taschenbuch. Zustand: Neu. Parallelism in Logic | Its Potential for Performance and Program Development | Franz Kurfeß | Taschenbuch | xii | Deutsch | 1991 | Vieweg & Teubner | EAN 9783528051631 | Verantwortliche Person für die EU: Springer Vieweg in Springer Science + Business Media, Abraham-Lincoln-Str. 46, 65189 Wiesbaden, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

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Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -One high-level ability of the human brain is to understand what it has learned. This seems to be the crucial advantage in comparison to the brain activity of other primates. At present we are technologically almost ready to artificially reproduce human brain tissue, but we still do not fully understand the information processing and the related biological mechanisms underlying this ability. Thus an electronic clone of the human brain is still far from being realizable. At the same time, around twenty years after the revival of the connectionist paradigm, we are not yet satisfied with the typical subsymbolic attitude of devices like neural networks: we can make them learn to solve even difficult problems, but without a clear explanation of why a solution works. Indeed, to widely use these devices in a reliable and non elementary way we need formal and understandable expressions of the learnt functions. of being tested, manipulated and composed with These must be susceptible other similar expressions to build more structured functions as a solution of complex problems via the usual deductive methods of the Artificial Intelligence. Many effort have been steered in this directions in the last years, constructing artificial hybrid systems where a cooperation between the sub symbolic processing of the neural networks merges in various modes with symbolic algorithms. In parallel, neurobiology research keeps on supplying more and more detailed explanations of the low-level phenomena responsible for mental processes. 416 pp. Englisch.

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. One high-level ability of the human brain is to understand what it has learned. This seems to be the crucial advantage in comparison to the brain activity of other primates. At present we are technologically almost ready to artificially reproduce human brai.

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. One high-level ability of the human brain is to understand what it has learned. This seems to be the crucial advantage in comparison to the brain activity of other primates. At present we are technologically almost ready to artificially reproduce human brai.

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -One high-level ability of the human brain is to understand what it has learned. This seems to be the crucial advantage in comparison to the brain activity of other primates. At present we are technologically almost ready to artificially reproduce human brain tissue, but we still do not fully understand the information processing and the related biological mechanisms underlying this ability. Thus an electronic clone of the human brain is still far from being realizable. At the same time, around twenty years after the revival of the connectionist paradigm, we are not yet satisfied with the typical subsymbolic attitude of devices like neural networks: we can make them learn to solve even difficult problems, but without a clear explanation of why a solution works. Indeed, to widely use these devices in a reliable and non elementary way we need formal and understandable expressions of the learnt functions. of being tested, manipulated and composed with These must be susceptible other similar expressions to build more structured functions as a solution of complex problems via the usual deductive methods of the Artificial Intelligence. Many effort have been steered in this directions in the last years, constructing artificial hybrid systems where a cooperation between the sub symbolic processing of the neural networks merges in various modes with symbolic algorithms. In parallel, neurobiology research keeps on supplying more and more detailed explanations of the low-level phenomena responsible for mental processes. 416 pp. Englisch.