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Symbolic and Quantitative Approaches to Reasoning and Uncertainty: European Conference ECSQARU '93, Granada, Spain, November 8-10, 1993. Proceedings (Lecture Notes in Computer Science, 747, Band 747) - Kruse, Rudolf, Moral, Serafin, Clarke, Michael
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Symbolic and Quantitative Approaches to Reasoning and Uncertainty: European Conference ECSQARU '93, Granada, Spain, November 8-10, 1993. Proceedings (Lecture Notes in Computer Science, 747, Band 747) - Livres de poche

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Symbolic and Quantitative Approaches to Reasoning and Uncertainty: European Conference ECSQARU `93, Granada, Spain, November 8-10, 1993. Proceedings (Lecture Notes in Computer Science, 747, Band 747) - Kruse,  Rudolf,  Serafin Moral  und  Michael Clarke
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Symbolic and Quantitative Approaches to Reasoning and Uncertainty: European Conference ECSQARU `93, Granada, Spain, November 8-10, 1993. Proceedings (Lecture Notes in Computer Science, 747, Band 747)  1993 - Kruse,  Rudolf,  Serafin Moral  und  Michael Clarke
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Clarke, Michael [Editor]; Kruse, Rudolf [Editor]; Moral, Serafin [Editor];:
Symbolic and Quantitative Approaches to Reasoning and Uncertainty: European Conference ECSQARU '93, Granada, Spain, November 8-10, 1993. Proceedings (Lecture Notes in Computer Science, 747) - Livres de poche

ISBN: 9783540573951

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Symbolic and Quantitative Approaches to Reasoning and Uncertainty: European Conference ECSQARU '93, Granada, Spain, November 8-10, 1993. Proceedings (Lecture Notes in Computer Science, 747, Band 747)

In recent years it has become apparent that an importantpart of the theory of artificial intelligence is concernedwith reasoning on the basis of uncertain, incomplete, orinconsistent information. A variety of formalisms have beendeveloped, including nonmonotonic logic, fuzzy sets,possibility theory, belief functions, and dynamic models ofreasoning such as belief revision and Bayesian networks.Several European research projects have been formed in thearea and the first European conference was held in 1991.This volume contains the papers accepted for presentation atECSQARU-93, the European Conference on SymbolicandQuantitative Approaches to Reasoning and Uncertainty, heldat the University of Granada, Spain, November 8-10, 1993.

Informations détaillées sur le livre - Symbolic and Quantitative Approaches to Reasoning and Uncertainty: European Conference ECSQARU '93, Granada, Spain, November 8-10, 1993. Proceedings (Lecture Notes in Computer Science, 747, Band 747)


EAN (ISBN-13): 9783540573951
ISBN (ISBN-10): 354057395X
Version reliée
Livre de poche
Date de parution: 1993
Editeur: Springer
408 Pages
Poids: 0,614 kg
Langue: eng/Englisch

Livre dans la base de données depuis 2007-05-31T15:37:10+02:00 (Zurich)
Page de détail modifiée en dernier sur 2023-06-18T15:56:21+02:00 (Zurich)
ISBN/EAN: 9783540573951

ISBN - Autres types d'écriture:
3-540-57395-X, 978-3-540-57395-1
Autres types d'écriture et termes associés:
Auteur du livre: michael rudolf, moral, kruse, clarke, eva serafin
Titre du livre: 993 1993, spain, reason, quantitative reasoning, granada, november, european, science notes


Données de l'éditeur

Auteur: Michael Clarke; Rudolf Kruse; Serafin Moral
Titre: Lecture Notes in Computer Science; Symbolic and Quantitative Approaches to Reasoning and Uncertainty - European Conference ECSQARU '93, Granada, Spain, November 8-10, 1993. Proceedings
Editeur: Springer; Springer Berlin
396 Pages
Date de parution: 1993-10-20
Berlin; Heidelberg; DE
Langue: Anglais
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
Available
XII, 396 p.

BC; Hardcover, Softcover / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; Bayesian network; Dynamic Reasoning; Dynamisches Schließen; Fuzzy Mengen; Fuzzy Sets; Möglichkeitstheorie; Nichtmonotone Logik; Possibility Theory; artificial intelligence; constraint satisfaction problem; expert system; intelligence; knowledge base; learning; probabilistic network; Artificial Intelligence; EA

$$\\mathcal{R}\\mathcal{E}\\mathcal{S}$$ : A formalism for reasoning with relative-strength defaults.- A semantics for open normal defaults via a modified preferential approach.- Possibilistic logic: From nonmonotonicity to logic programming.- Learning membership functions.- The use of possibilistic logic PL1 in a customizable tool for the generation of production-rule based systems.- Probabilistic network construction using the minimum description length principle.- IDAGs: A perfect map for any distribution.- Learning non probabilistic belief networks.- A practical system for defeasible reasoning and belief revision.- Influence of granularity level in fuzzy functional dependencies.- A logic for reasoning about safety in decision support systems.- Acceptability of arguments as ‘logical uncertainty’.- A temporal model theory for default logic.- Uncertainty in constraint satisfaction problems: A probabilistic approach.- Interference logic = conditional logic + frame axiom.- A unifying logical framework for reason maintenance.- Taxonomic linear theories.- Making inconsistency respectable: Part 2 — Meta-level handling of inconsistency.- Restricted access logics for inconsistent information.- Translating inaccessible worlds logic into bimodal logic.- A new approach to semantic aspects of possibilistic reasoning.- Probabilistic consistency of knowledge bases in inference systems.- Weighting independent bodies of evidence.- Default logic: Orderings and extensions.- Learning causal polytrees.- Symbolic evidence, arguments, supports and valuation networks.- A dynamic ordering relation for revision.- On extensions of marginals for decision-making.- On the semantics of negations in logic programming.- Structure learning approaches in causal probabilistics networks.- Weakextensions for default theories.- Recovering incidence functions.- On the relations between incidence calculus and ATMS.- A resolution method for a non monotonic multimodal logic.- A default logic based on epistemic states.- A Formal language for convex sets of probabilities.- A lattice-theoretic analysis of ATMS problem solving.- Examples of causal probabilistic expert systems.- A mixed approach of revision in propositional calculus.- Integrating uncertainty handling formalisms in distributed artificial intelligence.- Variations of constrained default logic.- Information sets in decision theory.- The preferential semantics of a multi-modal nonmonotonic logic.- Probability of deductibility and belief functions.- Formal properties of conditional independence in different calculi of AI.- A proof theory for Constructive Default Logic.- Plausible inference for default conditionals.- Decision-making with Belief Functions and pignistic probabilities.- Default logic and Dempster-Shafer theory.- Belief revision by expansion.

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