Paul-Amaury Matt: Argumentation as a practical foundation for decision theory : Designing expert systems in AI using logical knowledge and statistical data - Taschenbuch
[EAN: 9783639290301], Neubuch, [PU: VDM Verlag Dr. Müller], nach der Bestellung gedruckt Neuware - Printed after ordering - This thesis proposes a general method for the design of decisio… Mehr…
[EAN: 9783639290301], Neubuch, [PU: VDM Verlag Dr. Müller], nach der Bestellung gedruckt Neuware - Printed after ordering - This thesis proposes a general method for the design of decision-theoretic expert systems relying on logical knowledge and statistical data. The work expounded here is based on two modern theories of artificial intelligence, viz. argumentation theory and the theory of coherent previsions, also known as 'imprecise probabilities'. Argumentation has the ability to model practical knowledge, expertise and opinions (perhaps to some extent intuition as well) and when carefully employed in the design of expert systems understandably permits to reach satisfying degrees of substantive goodness. The theory of coherent previsions offers a fully axiomatic and unified view on probability and rational decision making and is thus adopted as a warrant for normative goodness. Various parts of the method presented are studied in detail and separately applied to decision domains such as finance (technical analysis-based algorithmic trading), trust computing and the game of poker. 276 pp. Englisch, Books<
[ED: Softcover], [PU: VDM Verlag Dr. Müller], This thesis proposes a general method for the design of decision-theoretic expert systems relying on logical knowledge and statistical data. … Mehr…
[ED: Softcover], [PU: VDM Verlag Dr. Müller], This thesis proposes a general method for the design of decision-theoretic expert systems relying on logical knowledge and statistical data. The work expounded here is based on two modern theories of artificial intelligence, viz. argumentation theory and the theory of coherent previsions, also known as "imprecise probabilities". Argumentation has the ability to model practical knowledge, expertise and opinions (perhaps to some extent intuition as well) and when carefully employed in the design of expert systems understandably permits to reach satisfying degrees of substantive goodness. The theory of coherent previsions offers a fully axiomatic and unified view on probability and rational decision making and is thus adopted as a warrant for normative goodness. Various parts of the method presented are studied in detail and separately applied to decision domains such as finance (technical analysis-based algorithmic trading), trust computing and the game of poker.
2010. 276 S.
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[EAN: 9783639290301], Neubuch, [PU: VDM Verlag Dr. Müller], This item is printed on demand - it takes 3-4 days longer - Neuware -This thesis proposes a general method for the design of de… Mehr…
[EAN: 9783639290301], Neubuch, [PU: VDM Verlag Dr. Müller], This item is printed on demand - it takes 3-4 days longer - Neuware -This thesis proposes a general method for the design of decision-theoretic expert systems relying on logical knowledge and statistical data. The work expounded here is based on two modern theories of artificial intelligence, viz. argumentation theory and the theory of coherent previsions, also known as 'imprecise probabilities'. Argumentation has the ability to model practical knowledge, expertise and opinions (perhaps to some extent intuition as well) and when carefully employed in the design of expert systems understandably permits to reach satisfying degrees of substantive goodness. The theory of coherent previsions offers a fully axiomatic and unified view on probability and rational decision making and is thus adopted as a warrant for normative goodness. Various parts of the method presented are studied in detail and separately applied to decision domains such as finance (technical analysis-based algorithmic trading), trust computing and the game of poker. 276 pp. Englisch, Books<
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This thesis proposes a general method for the design of decision-theoretic expert systems relying on logical knowledge and statistical data. The work expounded here is based on two modern… Mehr…
This thesis proposes a general method for the design of decision-theoretic expert systems relying on logical knowledge and statistical data. The work expounded here is based on two modern theories of artificial intelligence, viz. argumentation theory and the theory of coherent previsions, also known as 'imprecise probabilities'. Argumentation has the ability to model practical knowledge, expertise and opinions (perhaps to some extent intuition as well) and when carefully employed in the design of expert systems understandably permits to reach satisfying degrees of substantive goodness. The theory of coherent previsions offers a fully axiomatic and unified view on probability and rational decision making and is thus adopted as a warrant for normative goodness. Various parts of the method presented are studied in detail and separately applied to decision domains such as finance (technical analysis-based algorithmic trading), trust computing and the game of poker. Bücher > Fremdsprachige Bücher > Englische Bücher 220 x 150 x 17 mm , VDM, Taschenbuch, VDM<
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Paul-Amaury Matt: Argumentation as a Practical Foundation for Decision Theory Designing Expert Systems in Ai Using Logical Knowledge and Statistical Data - Taschenbuch
Softcover, PLEASE NOTE, WE DO NOT SHIP TO DENMARK. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Please note we cannot offer an expedited shipping service from… Mehr…
Softcover, PLEASE NOTE, WE DO NOT SHIP TO DENMARK. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Please note we cannot offer an expedited shipping service from the UK., [PU: VDM Verlag]<
Argumentation as a practical foundation for decision theory : Designing expert systems in AI using logical knowledge and statistical data - Taschenbuch
[EAN: 9783639290301], Neubuch, [PU: VDM Verlag Dr. Müller], nach der Bestellung gedruckt Neuware - Printed after ordering - This thesis proposes a general method for the design of decisio… Mehr…
[EAN: 9783639290301], Neubuch, [PU: VDM Verlag Dr. Müller], nach der Bestellung gedruckt Neuware - Printed after ordering - This thesis proposes a general method for the design of decision-theoretic expert systems relying on logical knowledge and statistical data. The work expounded here is based on two modern theories of artificial intelligence, viz. argumentation theory and the theory of coherent previsions, also known as 'imprecise probabilities'. Argumentation has the ability to model practical knowledge, expertise and opinions (perhaps to some extent intuition as well) and when carefully employed in the design of expert systems understandably permits to reach satisfying degrees of substantive goodness. The theory of coherent previsions offers a fully axiomatic and unified view on probability and rational decision making and is thus adopted as a warrant for normative goodness. Various parts of the method presented are studied in detail and separately applied to decision domains such as finance (technical analysis-based algorithmic trading), trust computing and the game of poker. 276 pp. Englisch, Books<
[ED: Softcover], [PU: VDM Verlag Dr. Müller], This thesis proposes a general method for the design of decision-theoretic expert systems relying on logical knowledge and statistical data. … Mehr…
[ED: Softcover], [PU: VDM Verlag Dr. Müller], This thesis proposes a general method for the design of decision-theoretic expert systems relying on logical knowledge and statistical data. The work expounded here is based on two modern theories of artificial intelligence, viz. argumentation theory and the theory of coherent previsions, also known as "imprecise probabilities". Argumentation has the ability to model practical knowledge, expertise and opinions (perhaps to some extent intuition as well) and when carefully employed in the design of expert systems understandably permits to reach satisfying degrees of substantive goodness. The theory of coherent previsions offers a fully axiomatic and unified view on probability and rational decision making and is thus adopted as a warrant for normative goodness. Various parts of the method presented are studied in detail and separately applied to decision domains such as finance (technical analysis-based algorithmic trading), trust computing and the game of poker.
2010. 276 S.
Versandfertig in 6-10 Tagen, DE, [SC: 0.00], Neuware, gewerbliches Angebot, Offene Rechnung (Vorkasse vorbehalten)<
Versandkosten:Versandkostenfrei, Versand nach Deutschland. (EUR 0.00) buecher.de GmbH & Co. KG
[EAN: 9783639290301], Neubuch, [PU: VDM Verlag Dr. Müller], This item is printed on demand - it takes 3-4 days longer - Neuware -This thesis proposes a general method for the design of de… Mehr…
[EAN: 9783639290301], Neubuch, [PU: VDM Verlag Dr. Müller], This item is printed on demand - it takes 3-4 days longer - Neuware -This thesis proposes a general method for the design of decision-theoretic expert systems relying on logical knowledge and statistical data. The work expounded here is based on two modern theories of artificial intelligence, viz. argumentation theory and the theory of coherent previsions, also known as 'imprecise probabilities'. Argumentation has the ability to model practical knowledge, expertise and opinions (perhaps to some extent intuition as well) and when carefully employed in the design of expert systems understandably permits to reach satisfying degrees of substantive goodness. The theory of coherent previsions offers a fully axiomatic and unified view on probability and rational decision making and is thus adopted as a warrant for normative goodness. Various parts of the method presented are studied in detail and separately applied to decision domains such as finance (technical analysis-based algorithmic trading), trust computing and the game of poker. 276 pp. Englisch, Books<
NEW BOOK. Versandkosten:Versandkostenfrei. (EUR 0.00) BuchWeltWeit Inh. Ludwig Meier e.K., Bergisch Gladbach, Germany [57449362] [Rating: 5 (von 5)]
This thesis proposes a general method for the design of decision-theoretic expert systems relying on logical knowledge and statistical data. The work expounded here is based on two modern… Mehr…
This thesis proposes a general method for the design of decision-theoretic expert systems relying on logical knowledge and statistical data. The work expounded here is based on two modern theories of artificial intelligence, viz. argumentation theory and the theory of coherent previsions, also known as 'imprecise probabilities'. Argumentation has the ability to model practical knowledge, expertise and opinions (perhaps to some extent intuition as well) and when carefully employed in the design of expert systems understandably permits to reach satisfying degrees of substantive goodness. The theory of coherent previsions offers a fully axiomatic and unified view on probability and rational decision making and is thus adopted as a warrant for normative goodness. Various parts of the method presented are studied in detail and separately applied to decision domains such as finance (technical analysis-based algorithmic trading), trust computing and the game of poker. Bücher > Fremdsprachige Bücher > Englische Bücher 220 x 150 x 17 mm , VDM, Taschenbuch, VDM<
Nr. A1014149266. Versandkosten:Lieferzeiten außerhalb der Schweiz 3 bis 21 Werktage, , Versandfertig innert 3 Wochen, zzgl. Versandkosten. (EUR 17.73)
Paul-Amaury Matt: Argumentation as a Practical Foundation for Decision Theory Designing Expert Systems in Ai Using Logical Knowledge and Statistical Data - Taschenbuch
Softcover, PLEASE NOTE, WE DO NOT SHIP TO DENMARK. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Please note we cannot offer an expedited shipping service from… Mehr…
Softcover, PLEASE NOTE, WE DO NOT SHIP TO DENMARK. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Please note we cannot offer an expedited shipping service from the UK., [PU: VDM Verlag]<
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This thesis proposes a general method for the design of decision-theoretic expert systems relying on logical knowledge and statistical data. The work expounded here is based on two modern theories of artificial intelligence, viz. argumentation theory and the theory of coherent previsions, also known as "imprecise probabilities". Argumentation has the ability to model practical knowledge, expertise and opinions (perhaps to some extent intuition as well) and when carefully employed in the design of expert systems understandably permits to reach satisfying degrees of substantive goodness. The theory of coherent previsions offers a fully axiomatic and unified view on probability and rational decision making and is thus adopted as a warrant for normative goodness. Various parts of the method presented are studied in detail and separately applied to decision domains such as finance (technical analysis-based algorithmic trading), trust computing and the game of poker.
Detailangaben zum Buch - Argumentation as a practical foundation for decision theory: Designing expert systems in AI using logical knowledge and statistical data
EAN (ISBN-13): 9783639290301 ISBN (ISBN-10): 3639290305 Gebundene Ausgabe Taschenbuch Erscheinungsjahr: 2010 Herausgeber: VDM Verlag Dr. Müller 276 Seiten Gewicht: 0,427 kg Sprache: eng/Englisch
Buch in der Datenbank seit 2009-11-13T01:40:51+01:00 (Berlin) Detailseite zuletzt geändert am 2023-10-02T04:21:26+02:00 (Berlin) ISBN/EAN: 9783639290301
ISBN - alternative Schreibweisen: 3-639-29030-5, 978-3-639-29030-1 Alternative Schreibweisen und verwandte Suchbegriffe: Autor des Buches: paul matt Titel des Buches: argumentation theory, foundation, decision theory, logical, expert knowledge