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) - Taschenbuch

EAN (ISBN-13): 9783540573951
ISBN (ISBN-10): 354057395X
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 1993
Herausgeber: Springer
408 Seiten
Gewicht: 0,614 kg
Sprache: eng/Englisch

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ISBN/EAN: 9783540573951

ISBN - alternative Schreibweisen:
3-540-57395-X, 978-3-540-57395-1
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: michael rudolf, moral, kruse, clarke, eva serafin
Titel des Buches: 993 1993, spain, reason, quantitative reasoning, granada, november, european, science notes

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Daten vom Verlag:

Autor/in: Michael Clarke; Rudolf Kruse; Serafin Moral
Titel: Lecture Notes in Computer Science; Symbolic and Quantitative Approaches to Reasoning and Uncertainty - European Conference ECSQARU '93, Granada, Spain, November 8-10, 1993. Proceedings
Verlag: Springer; Springer Berlin
396 Seiten
Erscheinungsjahr: 1993-10-20
Berlin; Heidelberg; DE
Sprache: Englisch
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.