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A variety of formalisms have been developed to address such aspects of handling imperfect knowledge as uncertainty, vagueness, imprecision, incompleteness, and partial inconsistency. Some… Meer...

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Symbolic and Quantitative Approaches to Uncertainty European Conference ECSQAU, Marseille, France, October 15-17, 1991. Proceedings Series: Lecture Notes in Computer Science, Vol. 548 Kruse, Rudolf; Siegel, Pierre (Eds.)  1991 - Kruse, Rudolf; Siegel, Pierre (Eds.)
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Symbolic and Quantitative Approaches to Uncertainty European Conference ECSQAU, Marseille, France, October 15-17, 1991. Proceedings Series: Lecture Notes in Computer Science, Vol. 548 Kruse, Rudolf; Siegel, Pierre (Eds.) 1991 - gebonden uitgave, pocketboek

1991, ISBN: 9783540546597

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Symbolic and Quantitative Approaches to Uncertainty - pocketboek

1991

ISBN: 3540546596

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1991, ISBN: 9783540546597

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ISBN: 9783540546597

*Symbolic and Quantitative Approaches to Uncertainty* - European Conference ECSQAU Marseille France October 15-17 1991. Proceedings. Auflage 1991 / Taschenbuch für 53.49 € / Aus dem Berei… Meer...

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Symbolic and Quantitative Approaches to Uncertainty

A variety of formalisms have been developed to address suchaspects of handling imperfect knowledge as uncertainty,vagueness, imprecision, incompleteness, and partialinconsistency. Some of the most familiar approaches in thisresearch field are nonmonotonic logics, modal logics,probability theory (Bayesian and non-Bayesian), belieffunction theory, and fuzzy sets and possibility theory.ESPRIT Basic Research Action 3085, entitled DefeasibleReasoning and Uncertainty Management Systems (DRUMS), aimsto contribute to the elucidation of similarities anddifferences between these formalisms. It consists of 11active European research groups. The European Conference onSymbolic and Quantitative Approaches to Uncertainty (ESQAU)provides a forum for these groups to meet and discuss theirscientific results.This volume contains 42 contributions accepted for the ESQAUmeeting held in October 1991 in Marseille, together with 12articles presenting the activities of the DRUMS groups andtwo invited presentations.

Gedetalleerde informatie over het boek. - Symbolic and Quantitative Approaches to Uncertainty


EAN (ISBN-13): 9783540546597
ISBN (ISBN-10): 3540546596
Gebonden uitgave
pocket book
Verschijningsjaar: 1991
Uitgever: Springer Berlin Heidelberg
362 Bladzijden
Gewicht: 0,573 kg

Boek bevindt zich in het datenbestand sinds 2007-10-13T04:33:43+02:00 (Amsterdam)
Detailpagina laatst gewijzigd op 2023-09-28T13:45:06+02:00 (Amsterdam)
ISBN/EAN: 3540546596

ISBN - alternatieve schrijfwijzen:
3-540-54659-6, 978-3-540-54659-7
alternatieve schrijfwijzen en verwante zoekwoorden:
Auteur van het boek: kruse, siegel, pierre, eds, berliner rudolf
Titel van het boek: anc 1991, proceedings, kruse, quantitative, october, lecture notes computer science, approaches, pierre, siegel, marseille xvii


Gegevens van de uitgever

Auteur: Rudolf Kruse; Pierre Siegel
Titel: Lecture Notes in Computer Science; Symbolic and Quantitative Approaches to Uncertainty - European Conference ECSQAU, Marseille, France, October 15-17, 1991. Proceedings
Uitgeverij: Springer; Springer Berlin
368 Bladzijden
Verschijningsjaar: 1991-10-01
Berlin; Heidelberg; DE
Gedrukt / Gemaakt in
Gewicht: 1,190 kg
Taal: Engels
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
POD
XII, 368 p.

BC; Artificial Intelligence; Hardcover, Softcover / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; Fuzzy Mengen; Fuzzy Sets; Möglichkeitstheorie; Nicht-monotone Logik; Nonmonotonic Logic; Possibility Theory; Ungewißheit; Vagueness; fuzzy; knowledge; uncertainty; Coding and Information Theory; Artificial Intelligence; Coding and Information Theory; Kodierungstheorie und Verschlüsselung (Kryptologie); Informationstheorie; EA

Abduction in labelled deductive systems a conceptual abstract.- Nonmonotonic inference, expectations, and neural networks.- Imprecise quantifiers and conditional probabilities.- Default logics.- Propagation of uncertainty in dependence graphs.- Efficient algorithms for belief functions based on the relationship between belief and probability.- A brief overview of possibilistic logic.- A modal analysis of possibility theory.- An extended logic language for representing belief.- Graded default logics.- Linguistically expressed uncertainty: Its elicitation and use in modular expert systems.- Reasoning with mass distributions and the context model.- Advance prototyping.- The transferable belief model.- Learning with CASTLE.- A New approach to inference under uncertainty for knowledge based systems.- Learning of uncertain classification rules in medical diagnosis.- Assertional default theories.- The reliability of reasoning with unreliable rules and propositions.- Uncertainty in the valuation of risky assets.- Assessment of qualitative judgements for conditional events in expert systems.- Automated reasoning about an uncertain domain.- Using defeasible logic for a window on a probabilistic database: Some preliminary notes.- From data analysis to uncertainty knowledge analysis.- Difference fuzzy relation equations: Studies in dynamical systems.- Towards a logic for a fuzzy logic controller.- Handling active databases with partial inconsistencies.- An extension of the possibility theory in view of the formalization of approximate reasoning.- Probabilistic regions of persistence.- Formalizing pertinence links in inheritance reasoning: Preliminary report.- A hybrid approach for modeling uncertainty in terminological logics.- Fuzzy control research at Siemens Corporate R&D.- Handling partially ordered defaults in TMS.- Computing extensions of default theories.- An evidential reasoning approach to the classification of satellite images.- PRESS—A probabilistic reasoning expert system shell.- Induction of uncertain rules and the sociopathicity property in Dempster-Shafer theory.- Hierarchical default logic.- A logic of imprecise monadic predicates and its relation to the S5-modal fuzzy logic.- Every complex system can be determined by a causal probabilistic network without cycles and every such network determines a Markov field.- Probabilistic default reasoning involving continuous variables.- Revision in propositional calculus.- A constraint-based approach to uncertain and imprecise reasoning. Application to expert systems.- Random closed sets: A unified approach to the representation of imprecision and uncertainty.- Knowledge extraction in trivalued propositional logic.- Using maximum entropy to identify unsafe assumptions in probabilistic expert systems.- On truth and utility.- On commitment and cumulativity in default logics.- A tableau-based characterisation for default logic.- Restraining the proliferation of worlds in probabilistic logic entailments.- Managing uncertainty in environmental analysis: An application to measurement data interpretation.- Handling uncertainty in knowledge-based computer vision.- Probabilistic reasoning with facts and rules in deductive databases.- An entity-relationship approach to the modelling of vagueness in databases.- A preferential model semantics for default logic.- Elementary hyperentailment.

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