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Zustand: Gut. Auflage: 1982. 476 Seiten Exemplar aus einer wissenchaftlichen Bibliothek Sprache: Englisch Gewicht in Gramm: 1013 24,8 x 17,0 x 3,0 cm, Gebundene Ausgabe.
Anbieter: HJP VERSANDBUCHHANDLUNG, WEDEL, SH, Deutschland
Erstausgabe
Hardcover. Zustand: Good. 1st Edition. 476 p; 139 Fig. [SYMBOLIC COMPUTATION]. Buch.
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EUR 90,21
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In den WarenkorbZustand: New. In.
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Hardcover/ Pappband. Zustand: Wie neu. 476 S. Algorithmen Mathematik Guter Zustand/ Good. Buchdeckel gebogen, Seiten altersgemäß leicht vergilbt ha1087308 Sprache: Englisch Gewicht in Gramm: 1050.
Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Sprache: Englisch
Verlag: Springer Berlin Heidelberg, 1982
ISBN 10: 3540113401 ISBN 13: 9783540113409
Anbieter: moluna, Greven, Deutschland
EUR 98,79
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In den WarenkorbZustand: New. Previous treatments of Artificial Intelligence (AI) divide the subject into its major areas of application, namely, natural language processing, automatic programming, robotics, machine vision, automatic theorem proving, intelligent data retrieval systems, .
Sprache: Englisch
Verlag: Springer, Berlin, Springer Berlin Heidelberg, Springer, 1982
ISBN 10: 3540113401 ISBN 13: 9783540113409
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware - Previous treatments of Artificial Intelligence (AI) divide the subject into its major areas of application, namely, natural language processing, automatic programming, robotics, machine vision, automatic theorem proving, intelligent data retrieval systems, etc. The major difficulty with this approach is that these application areas are now so extensive, that each could, at best, be only superficially treated in a book of this length. Instead, I have attempted here to describe fundamental AI ideas that underlie many of these applications. My organization of these ideas is not, then, based on the subject matter of their application, but is, instead, based on general computational concepts involving the kinds of data structures used, the types of operations performed on these data struc tures, and the properties of con'trol strategies used by AI systems. I stress, in particular, the important roles played in AI by generalized production systems and the predicate calculus. The notes on which the book is based evolved in courses and seminars at Stanford University and at the University of Massachusetts at Amherst. Although certain topics treated in my previous book, Problem solving Methods in Artificial Intelligence, are covered here as well, this book contains many additional topics such as rule-based systems, robot problem-solving systems, and structured-object representations.