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Aggiungi al carrello23,5 x 15,5 cm. Condizione: Gut. 1. Auflage. XII, 218 Seiten International Workshop WCII 2002; Hagen Germany, May 2002 Revised Selected Papers. Innen sauberer, guter Zustand. Softcover, Broschur mit den üblichen Bibliotheks-Markierungen, Stempeln und Einträgen, innen wie außen, siehe Bilder. (Evtl. auch Kleber- und/oder Etikettenreste, sowie -abdrücke durch abgelöste Bibliotheksschilder). Lecture Notes in Artificial Intelligence 3301 DE-110-02 Sprache: Deutsch Gewicht in Gramm: 366.
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ISBN 10: 3824421585 ISBN 13: 9783824421589
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Conditionals are fascinating and versatile objects of knowledge representation. On the one hand, they may express rules in a very general sense, representing, for example, plausible relationships, physical laws, and social norms. On the other hand, as default rules or general implications, they constitute a basic tool for reasoning, even in the presence of uncertainty. In this sense, conditionals are intimately connected both to information and inference. Due to their non-Boolean nature, however, conditionals are not easily dealt with. They are not simply true or false - rather, a conditional 'if A then B' provides a context, A, for B to be plausible (or true) and must not be confused with 'A entails B' or with the material implication 'not A or B.' This ill- trates how conditionals represent information, understood in its strict sense as reduction of uncertainty. To learn that, in the context A, the proposition B is plausible, may reduce uncertainty about B and hence is information. The ab- ity to predict such conditioned propositions is knowledge and as such (earlier) acquired information. The rst work on conditional objects dates back to Boole in the 19th c- tury, and the interest in conditionals was revived in the second half of the 20th century, when the emerging Arti cial Intelligence made claims for appropriate formaltoolstohandle'generalizedrules.'Sincethen,conditionalshavebeenthe topic of countless publications, each emphasizing their relevance for knowledge representation, plausible reasoning, nonmonotonic inference, and belief revision.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Conditionals, Information, and Inference | International Workshop, WCII 2002, Hagen, Germany, May 13-15, 2002, Revised Selected Papers | Gabriele Kern-Isberner (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2005 | Springer | EAN 9783540253327 | Verantwortliche Person für die EU: Springer Nature Customer Service Center GmbH, Europaplatz 3, 69115 Heidelberg, productsafety[at]springernature[dot]com | Anbieter: preigu.
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Aggiungi al carrelloPaperback. Condizione: New.
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Editore: Deutscher Universit?tsverlag, 2002
ISBN 10: 3824421585 ISBN 13: 9783824421589
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Wissen und Information in konditionalen Modellen | Zur Entscheidungsvorbereitung im Anfrage- und Auftragsmanagement | Friedhelm Kulmann | Taschenbuch | xviii | Deutsch | 2002 | Deutscher Universitätsverlag | EAN 9783824421589 | Verantwortliche Person für die EU: Deutscher Universitätsverlag in Springer Science + Business, Tiergartenstr. 15-17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Aggiungi al carrelloCondizione: New. Print on Demand pp. 236 Illus.
Lingua: Inglese
Editore: Springer Berlin Heidelberg Mai 2005, 2005
ISBN 10: 3540253327 ISBN 13: 9783540253327
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Conditionals are fascinating and versatile objects of knowledge representation. On the one hand, they may express rules in a very general sense, representing, for example, plausible relationships, physical laws, and social norms. On the other hand, as default rules or general implications, they constitute a basic tool for reasoning, even in the presence of uncertainty. In this sense, conditionals are intimately connected both to information and inference. Due to their non-Boolean nature, however, conditionals are not easily dealt with. They are not simply true or false - rather, a conditional 'if A then B' provides a context, A, for B to be plausible (or true) and must not be confused with 'A entails B' or with the material implication 'not A or B.' This ill- trates how conditionals represent information, understood in its strict sense as reduction of uncertainty. To learn that, in the context A, the proposition B is plausible, may reduce uncertainty about B and hence is information. The ab- ity to predict such conditioned propositions is knowledge and as such (earlier) acquired information. The rst work on conditional objects dates back to Boole in the 19th c- tury, and the interest in conditionals was revived in the second half of the 20th century, when the emerging Arti cial Intelligence made claims for appropriate formaltoolstohandle'generalizedrules.'Sincethen,conditionalshavebeenthe topic of countless publications, each emphasizing their relevance for knowledge representation, plausible reasoning, nonmonotonic inference, and belief revision. 236 pp. Englisch.
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Aggiungi al carrelloKartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Includes supplementary material: sn.pub/extrasConditionals are fascinating and versatile objects of knowledge representation. On the one hand, they may express rules in a very general sense, representing, for example, plausible relationships, phy.
Lingua: Inglese
Editore: Springer, Springer Mai 2005, 2005
ISBN 10: 3540253327 ISBN 13: 9783540253327
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Conditionals are fascinating and versatile objects of knowledge representation. On the one hand, they may express rules in a very general sense, representing, for example, plausible relationships, physical laws, and social norms. On the other hand, as default rules or general implications, they constitute a basic tool for reasoning, even in the presence of uncertainty. In this sense, conditionals are intimately connected both to information and inference. Due to their non-Boolean nature, however, conditionals are not easily dealt with. They are not simply true or false ¿ rather, a conditional ¿if A then B¿ provides a context, A, for B to be plausible (or true) and must not be confused with ¿A entails B¿ or with the material implication ¿not A or B.¿ This ill- trates how conditionals represent information, understood in its strict sense as reduction of uncertainty. To learn that, in the context A, the proposition B is plausible, may reduce uncertainty about B and hence is information. The ab- ity to predict such conditioned propositions is knowledge and as such (earlier) acquired information. The rst work on conditional objects dates back to Boole in the 19th c- tury, and the interest in conditionals was revived in the second half of the 20th century, when the emerging Arti cial Intelligence made claims for appropriate formaltoolstohandle¿generalizedrules.¿Sincethen,conditionalshavebeenthe topic of countless publications, each emphasizing their relevance for knowledge representation, plausible reasoning, nonmonotonic inference, and belief revision.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 236 pp. Englisch.
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Aggiungi al carrelloCondizione: New. Print on Demand pp. 208 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
Lingua: Tedesco
Editore: Deutscher Universitätsverlag Aug 2002, 2002
ISBN 10: 3824421585 ISBN 13: 9783824421589
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Information und Wissen sind zentrale Begriffe, denen sowohl in der Informatik als auch in der Betriebswirtschaftslehre besondere Bedeutung zukommt. Ausgehend von der mathematisch geprägten Informationstheorie untersucht und bewertet Friedhelm Kulmann für die Betriebswirtschaftslehre spezielle Methoden der Wissensverarbeitung und setzt probabilistische Konzepte zur Vorbereitung unternehmerischer Entscheidungen ein. Dabei ermöglicht sein interdisziplinäres Vorgehen eine neue Sicht ökonomischer Modelle. Am Beispiel einer Anfragenbewertung aus dem Bereich Industriegütermarketing, bei dem die Angebotserstellung Kosten im Prozentbereich des Auftragsvolumens verursacht, zeigt der Autor die Notwendigkeit einer objektiven Erfassung und Quantifizierung von Information und Wissen. Zur Analyse setzt er die Expertensystemshell SPIRIT ein. 185 pp. Deutsch.
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 208.
Lingua: Tedesco
Editore: Deutscher Universitätsverlag, 2002
ISBN 10: 3824421585 ISBN 13: 9783824421589
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr. Friedhelm Kulmann ist wissenschaftlicher Assistent von Prof. Dr. Wilhelm Roedder am Lehrstuhl fuer Betriebswirtschaftslehre, insbesondere Operations Research, der FernUniversitaet Hagen.Ausgehend von der Informationstheorie untersucht und bewertet .
Lingua: Tedesco
Editore: Deutscher Universitätsverlag, Deutscher Universitätsverlag Aug 2002, 2002
ISBN 10: 3824421585 ISBN 13: 9783824421589
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Ausgehend von der Informationstheorie untersucht und bewertet Friedhelm Kulmann für die Betriebswirtschaftslehre spezielle Methoden der Wissensverarbeitung und setzt probabilistische Konzepte zur Vorbereitung unternehmerischer Entscheidungen ein. Seine Methode veranschaulicht er am Beispiel von Anfragebewertungen aus dem Bereich Industriegütermarketing.Deutscher Universitätsvlg, Abraham-Lincoln-Str. 46, 65189 Wiesbaden 208 pp. Deutsch.
Lingua: Tedesco
Editore: Deutscher Universitätsverlag, Deutscher Universitätsverlag, 2002
ISBN 10: 3824421585 ISBN 13: 9783824421589
Da: AHA-BUCH GmbH, Einbeck, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Information und Wissen sind zentrale Begriffe, denen sowohl in der Informatik als auch in der Betriebswirtschaftslehre besondere Bedeutung zukommt. Ausgehend von der mathematisch geprägten Informationstheorie untersucht und bewertet Friedhelm Kulmann für die Betriebswirtschaftslehre spezielle Methoden der Wissensverarbeitung und setzt probabilistische Konzepte zur Vorbereitung unternehmerischer Entscheidungen ein. Dabei ermöglicht sein interdisziplinäres Vorgehen eine neue Sicht ökonomischer Modelle. Am Beispiel einer Anfragenbewertung aus dem Bereich Industriegütermarketing, bei dem die Angebotserstellung Kosten im Prozentbereich des Auftragsvolumens verursacht, zeigt der Autor die Notwendigkeit einer objektiven Erfassung und Quantifizierung von Information und Wissen. Zur Analyse setzt er die Expertensystemshell SPIRIT ein.