Symbolic and Quantitative Approaches to Uncertainty - nuovo libro

EAN (ISBN-13): 9783540546597
ISBN (ISBN-10): 3540546596
Copertina rigida
Copertina flessibile
Anno di pubblicazione: 1991
Editore: Springer Berlin Heidelberg
362 Pagine
Peso: 0,573 kg

Libro nella banca dati dal 2007-10-13T04:33:43+02:00 (Zurich)
Pagina di dettaglio ultima modifica in 2023-09-28T13:45:06+02:00 (Zurich)
ISBN/EAN: 9783540546597

ISBN - Stili di scrittura alternativi:
3-540-54659-6, 978-3-540-54659-7
Stili di scrittura alternativi e concetti di ricerca simili:
Autore del libro : kruse, siegel, pierre, eds, berliner rudolf
Titolo del libro: anc 1991, proceedings, kruse, quantitative, october, lecture notes computer science, approaches, pierre, siegel, marseille xvii

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Dati dell'editore

Autore: Rudolf Kruse; Pierre Siegel
Titolo: Lecture Notes in Computer Science; Symbolic and Quantitative Approaches to Uncertainty - European Conference ECSQAU, Marseille, France, October 15-17, 1991. Proceedings
Editore: Springer; Springer Berlin
368 Pagine
Anno di pubblicazione: 1991-10-01
Berlin; Heidelberg; DE
Lingua: Inglese
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
Available
XII, 368 p.

BC; 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; 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.