About: Conditional Deduction under Uncertainty

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Conditional deduction in binary logic consists of deriving new statements from an existing set of statements and conditional rules. Modus Ponens, which is the classical example of a conditional deduction rule, expresses a conditional relationship between an antecedent and a consequent. A generalization of Modus Ponens to probabilities in the form of probabilistic conditional inference is also well known. This paper describes a method for conditional deduction with beliefs which is a generalization of probabilistic conditional inference and Modus Ponens. Meaningful conditional deduction requires a degree of relevance between the antecedent and the consequent, and this relevance can be explicitly expressed and measured with our method. Our belief representation has the advantage that it is possible to represent partial ignorance regarding the truth of statements. Conditional deduction with beliefs thereby allows partial ignorance to be processed. Conditional deduction in binary logic consists of deriving new statements from an existing set of statements and conditional rules. Modus Ponens, which is the classical example of a conditional deduction rule, expresses a conditional relationship between an antecedent and a consequent. A generalization of Modus Ponens to probabilities in the form of probabilistic conditional inference is also well known. This paper describes a method for conditional deduction with beliefs which is a generalization of probabilistic conditional inference and Modus Ponens. Meaningful conditional deduction requires a degree of relevance between the antecedent and the consequent, and this relevance can be explicitly expressed and measured with our method. Our belief representation has the advantage that it is possible to represent partial ignorance regarding the truth of statements. Conditional deduction with beliefs thereby allows partial ignorance to be processed. (en)
Title	Conditional Deduction under Uncertainty Conditional Deduction under Uncertainty (en)
skos:prefLabel	Conditional Deduction under Uncertainty Conditional Deduction under Uncertainty (en)
skos:notation	RIV/67985807:_____/05:00339939!RIV10-MSM-67985807
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(OC 274.001), Z(AV0Z10300504)
http://linked.open...vai/riv/dodaniDat	2010
http://linked.open...aciTvurceVysledku	Daniel, Milan
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Ústav informatiky AV ČR, v. v. i.
http://linked.open...dnocenehoVysledku	516168
http://linked.open...ai/riv/idVysledku	RIV/67985807:_____/05:00339939
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	belief functions; conditional deduction; conditional rules; Modus Ponens; probabilistic conditional inference (en)
http://linked.open.../riv/klicoveSlovo	belief functions Modus Ponens conditional deduction conditional rules probabilistic conditional inference
http://linked.open...ontrolniKodProRIV	[CD28EE575E83]
http://linked.open...v/mistoKonaniAkce	Barcelona
http://linked.open...i/riv/mistoVydani	Berlin
http://linked.open...i/riv/nazevZdroje	Symbolic and Quantitative Approaches to Reasoning with Uncertainty
http://linked.open...in/vavai/riv/obor	BA
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	http://linked.opendata.cz/resource/domain/vavai/projekt/OC%20274.001
http://linked.open...UplatneniVysledku	2005
http://linked.open...iv/tvurceVysledku	Daniel, Milan Josang, A. Pope, S.
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open...ain/vavai/riv/wos	000230770500069
http://linked.open.../riv/zahajeniAkce	2005-07-06 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Informatika pro informační společnost: modely, algoritmy, aplikace
number of pages	12 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Springer-Verlag
https://schema.org/isbn	3-540-27326-3

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