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Aggiungi al carrelloPF. Condizione: New.
Condizione: New.
Editore: J B Metzler'Sche Verlagsbuchhandl, 2019
ISBN 10: 3476048233 ISBN 13: 9783476048233
Lingua: Inglese
Da: Revaluation Books, Exeter, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: Brand New. 365 pages. 8.00x5.75x1.00 inches. In Stock.
Editore: J.B. Metzler, J.B. Metzler Jan 2019, 2019
ISBN 10: 3476048233 ISBN 13: 9783476048233
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -Nonmonotonic reasoning is a discipline of computer science, epistemology, and cognition: It models inferences where classical logic is inadequate in symbolic AI, defines normative models for reasoning with defeasible information in epistemology, and models human reasoning under information change in cognition. Its building blocks are defeasible rules formalised as DeFinetti conditionals. In this thesis, Christian Eichhorn examines qualitative and semi-quantitative inference relations on top said conditionals, using the conditional structure of the knowledge base and Spohn¿s Ordinal Conditional Functions, using established properties. Converting network approaches from probabilistics, he shows how to approach the relations with regard to implementation.J.B. Metzler Verlag GmbH in Springer Science + Business Medi, Werastr. 21-23, 70182 Stuttgart 396 pp. Englisch.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Rational Reasoning with Finite Conditional Knowledge Bases | Theoretical and Implementational Aspects | Christian Eichhorn | Taschenbuch | xxviii | Englisch | 2019 | J.B. Metzler | EAN 9783476048233 | Verantwortliche Person für die EU: J.B. Metzler Verlag GmbH in Springer Science + Business Medi, Werastr. 21-23, 70182 Stuttgart, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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 -Nonmonotonic reasoning is a discipline of computer science, epistemology, and cognition: It models inferences where classical logic is inadequate in symbolic AI, defines normative models for reasoning with defeasible information in epistemology, and models human reasoning under information change in cognition. Its building blocks are defeasible rules formalised as DeFinetti conditionals. In this thesis, Christian Eichhorn examines qualitative and semi-quantitative inference relations on top said conditionals, using the conditional structure of the knowledge base and Spohn's Ordinal Conditional Functions, using established properties. Converting network approaches from probabilistics, he shows how to approach the relations with regard to implementation. 396 pp. Englisch.
Da: Majestic Books, Hounslow, Regno Unito
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Da: Biblios, Frankfurt am main, HESSE, Germania
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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. A study bridging computer science, philosophy and psychologyA study bridging computer science, philosophy and psychologyThe AuthorChristian Eichhorn received his doctorate from the Computer Science Department at .
Da: AHA-BUCH GmbH, Einbeck, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Nonmonotonic reasoning is a discipline of computer science, epistemology, and cognition: It models inferences where classical logic is inadequate in symbolic AI, defines normative models for reasoning with defeasible information in epistemology, and models human reasoning under information change in cognition. Its building blocks are defeasible rules formalised as DeFinetti conditionals. In this thesis, Christian Eichhorn examines qualitative and semi-quantitative inference relations on top said conditionals, using the conditional structure of the knowledge base and Spohn's Ordinal Conditional Functions, using established properties. Converting network approaches from probabilistics, he shows how to approach the relations with regard to implementation.