Verwandte Artikel zu Mathematical Models for Handling Partial Knowledge...
Mathematical Models for Handling Partial Knowledge in Artificial Intelligence (Applied Clinical Psychology) - Hardcover
Inhaltsangabe
Knowledge acquisition is one of the most important aspects influencing the quality of methods used in artificial intelligence and the reliability of expert systems. The various issues dealt with in this volume concern many different approaches to the handling of partial knowledge and to the ensuing methods for reasoning and decision making under uncertainty, as applied to problems in artificial intelligence. The volume is composed of the invited and contributed papers presented at the Workshop on Mathematical Models for Handling Partial Knowledge in Artificial Intelligence, held at the Ettore Majorana Center for Scientific Culture of Erice (Sicily, Italy) on June 19-25, 1994, in the framework of the International School of Mathematics "G.Stampacchia". It includes also a transcription of the roundtable held during the workshop to promote discussions on fundamental issues, since in the choice of invited speakers we have tried to maintain a balance between the various schools of knowl edge and uncertainty modeling. Choquet expected utility models are discussed in the paper by Alain Chateauneuf: they allow the separation of perception of uncertainty or risk from the valuation of outcomes, and can be of help in decision mak ing. Petr Hajek shows that reasoning in fuzzy logic may be put on a strict logical (formal) basis, so contributing to our understanding of what fuzzy logic is and what one is doing when applying fuzzy reasoning.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Reseña del editor
Knowledge acquisition is one of the most important aspects influencing the quality of methods used in artificial intelligence and the reliability of expert systems. The various issues dealt with in this volume concern many different approaches to the handling of partial knowledge and to the ensuing methods for reasoning and decision making under uncertainty, as applied to problems in artificial intelligence. The volume is composed of the invited and contributed papers presented at the Workshop on Mathematical Models for Handling Partial Knowledge in Artificial Intelligence, held at the Ettore Majorana Center for Scientific Culture of Erice (Sicily, Italy) on June 19-25, 1994, in the framework of the International School of Mathematics "G.Stampacchia". It includes also a transcription of the roundtable held during the workshop to promote discussions on fundamental issues, since in the choice of invited speakers we have tried to maintain a balance between the various schools of knowl edge and uncertainty modeling. Choquet expected utility models are discussed in the paper by Alain Chateauneuf: they allow the separation of perception of uncertainty or risk from the valuation of outcomes, and can be of help in decision mak ing. Petr Hajek shows that reasoning in fuzzy logic may be put on a strict logical (formal) basis, so contributing to our understanding of what fuzzy logic is and what one is doing when applying fuzzy reasoning.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Neu kaufen
Diesen Artikel anzeigen
EUR 87,26
EUR 2,30 für den Versand innerhalb von/der Deutschland
Versandziele, Kosten & Dauer
Suchergebnisse für Mathematical Models for Handling Partial Knowledge...
Beispielbild für diese ISBN
Mathematical Models for Handling Partial Knowledge in Artificial Intelligence
Anbieter: Buchpark, Trebbin, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 324 | Sprache: Englisch | Produktart: Bücher. Bestandsnummer des Verkäufers 3026304/202
Anzahl: 2 verfügbar
Beispielbild für diese ISBN
Mathematical Models for Handling Partial Knowledge in Artificial Intelligence (Applied Clinical Psychology)
Anbieter: Anybook.com, Lincoln, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,800grams, ISBN:9780306450761. Bestandsnummer des Verkäufers 5840896
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Mathematical Models for Handling Partial Knowledge in Artificial Intelligence
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. pp. 328. Bestandsnummer des Verkäufers 183067300
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Mathematical Models for Handling Partial Knowledge in Artificial Intelligence
Anbieter: Books Puddle, New York, NY, USA
Verkäuferbewertung 4 von 5 Sternen
Zustand: New. pp. 328. Bestandsnummer des Verkäufers 263067310
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Mathematical Models for Handling Partial Knowledge in Artificial Intelligence
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. pp. 328 68:B&W 7 x 10 in or 254 x 178 mm Case Laminate on White w/Gloss Lam. Bestandsnummer des Verkäufers 5862001
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Mathematical Models For Handling Partial Knowledge In Artificial Intelligence (applied Clinical Psychology)
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide. Bestandsnummer des Verkäufers ABNR-274374
Anzahl: 1 verfügbar
Foto des Verkäufers
Mathematical Models for Handling Partial Knowledge in Artificial Intelligence
Print-on-DemandAnbieter: moluna, Greven, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Gebunden. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Knowledge acquisition is one of the most important aspects influencing the quality of methods used in artificial intelligence and the reliability of expert systems. The various issues dealt with in this volume concern many different approaches to the handli. Bestandsnummer des Verkäufers 5902394
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Mathematical Models for Handling Partial Knowledge in Artificial Intelligence (Applied Clinical Psychology)
Anbieter: Orca Knowledge Systems, Inc., Novato, CA, USA
Verkäuferbewertung 4 von 5 Sternen
Hardcover. Zustand: Very Good. Non circulating ex University of California, Berkeley reference library book with some library markings. No DJ. Light wear. Binding is tight, text clean. Bestandsnummer des Verkäufers mon0000006562
Anzahl: 1 verfügbar
Foto des Verkäufers
Mathematical Models for Handling Partial Knowledge in Artificial Intelligence
Verlag:
Springer US, Springer New York Aug 1995, 1995
ISBN 10: 0306450763
ISBN 13: 9780306450761
Neu
Hardcover
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Buch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Knowledge acquisition is one of the most important aspects influencing the quality of methods used in artificial intelligence and the reliability of expert systems. The various issues dealt with in this volume concern many different approaches to the handling of partial knowledge and to the ensuing methods for reasoning and decision making under uncertainty, as applied to problems in artificial intelligence. The volume is composed of the invited and contributed papers presented at the Workshop on Mathematical Models for Handling Partial Knowledge in Artificial Intelligence, held at the Ettore Majorana Center for Scientific Culture of Erice (Sicily, Italy) on June 19-25, 1994, in the framework of the International School of Mathematics 'G.Stampacchia'. It includes also a transcription of the roundtable held during the workshop to promote discussions on fundamental issues, since in the choice of invited speakers we have tried to maintain a balance between the various schools of knowl edge and uncertainty modeling. Choquet expected utility models are discussed in the paper by Alain Chateauneuf: they allow the separation of perception of uncertainty or risk from the valuation of outcomes, and can be of help in decision mak ing. Petr Hajek shows that reasoning in fuzzy logic may be put on a strict logical (formal) basis, so contributing to our understanding of what fuzzy logic is and what one is doing when applying fuzzy reasoning. 324 pp. Englisch. Bestandsnummer des Verkäufers 9780306450761
Anzahl: 1 verfügbar
Foto des Verkäufers
Mathematical Models for Handling Partial Knowledge in Artificial Intelligence
Verlag:
Springer US, Springer New York, 1995
ISBN 10: 0306450763
ISBN 13: 9780306450761
Neu
Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Knowledge acquisition is one of the most important aspects influencing the quality of methods used in artificial intelligence and the reliability of expert systems. The various issues dealt with in this volume concern many different approaches to the handling of partial knowledge and to the ensuing methods for reasoning and decision making under uncertainty, as applied to problems in artificial intelligence. The volume is composed of the invited and contributed papers presented at the Workshop on Mathematical Models for Handling Partial Knowledge in Artificial Intelligence, held at the Ettore Majorana Center for Scientific Culture of Erice (Sicily, Italy) on June 19-25, 1994, in the framework of the International School of Mathematics 'G.Stampacchia'. It includes also a transcription of the roundtable held during the workshop to promote discussions on fundamental issues, since in the choice of invited speakers we have tried to maintain a balance between the various schools of knowl edge and uncertainty modeling. Choquet expected utility models are discussed in the paper by Alain Chateauneuf: they allow the separation of perception of uncertainty or risk from the valuation of outcomes, and can be of help in decision mak ing. Petr Hajek shows that reasoning in fuzzy logic may be put on a strict logical (formal) basis, so contributing to our understanding of what fuzzy logic is and what one is doing when applying fuzzy reasoning. Bestandsnummer des Verkäufers 9780306450761
Anzahl: 1 verfügbar