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23,5 x 15,5 cm. Condition: 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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Taschenbuch. Condition: 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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Language: German
Published by Deutscher Universitätsverlag, 2002
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Published by Westdeutscher Verlag GmbH, 2002
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Published by Deutscher Universit?tsverlag, 2002
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Condition: New. Series: Wirtschaftsinformatik. Num Pages: 185 pages, black & white illustrations, black & white tables, bibliography. BIC Classification: KC; KJM. Category: (G) General (US: Trade). Dimension: 234 x 156 x 11. Weight in Grams: 299. . 2002. 2002nd Edition. paperback. . . . .
Language: German
Published by Deutscher Universit?tsverlag, 2002
ISBN 10: 3824421585 ISBN 13: 9783824421589
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Condition: New. Series: Wirtschaftsinformatik. Num Pages: 185 pages, black & white illustrations, black & white tables, bibliography. BIC Classification: KC; KJM. Category: (G) General (US: Trade). Dimension: 234 x 156 x 11. Weight in Grams: 299. . 2002. 2002nd Edition. paperback. . . . . Books ship from the US and Ireland.
Language: English
Published by Springer Berlin Heidelberg Mai 2005, 2005
ISBN 10: 3540253327 ISBN 13: 9783540253327
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Taschenbuch. Condition: 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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Language: English
Published by Springer Berlin Heidelberg, 2005
ISBN 10: 3540253327 ISBN 13: 9783540253327
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Kartoniert / Broschiert. Condition: 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.
Language: English
Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Mai 2005, 2005
ISBN 10: 3540253327 ISBN 13: 9783540253327
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Taschenbuch. Condition: 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. 236 pp. Englisch.
Taschenbuch. Condition: 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-Verlag KG, Sachsenplatz 4-6, 1201 WIEN, ÖSTERREICH, productsafety[at]springernature[dot]com | Anbieter: preigu Print on Demand.
Language: German
Published by Deutscher Universitätsverlag Aug 2002, 2002
ISBN 10: 3824421585 ISBN 13: 9783824421589
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Taschenbuch. Condition: 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.
Language: German
Published by Westdeutscher Verlag GmbH, 2002
ISBN 10: 3824421585 ISBN 13: 9783824421589
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Condition: 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.
Language: German
Published by Westdeutscher Verlag GmbH, 2002
ISBN 10: 3824421585 ISBN 13: 9783824421589
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Condition: New. PRINT ON DEMAND pp. 208.
Language: German
Published by Deutscher Universitätsverlag, 2002
ISBN 10: 3824421585 ISBN 13: 9783824421589
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Condition: 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 .
Language: German
Published by Deutscher Universitätsverlag, Deutscher Universitätsverlag Aug 2002, 2002
ISBN 10: 3824421585 ISBN 13: 9783824421589
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Taschenbuch. Condition: 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.