Conditional Deduction under Uncertainty

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F05%3A00339939" target="_blank" >RIV/67985807:_____/05:00339939 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Conditional Deduction under Uncertainty

Popis výsledku v původním jazyce

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 betweenan 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.

Název v anglickém jazyce

Conditional Deduction under Uncertainty

Popis výsledku anglicky

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 betweenan 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.

Druh

D - Stať ve sborníku

CEP obor

BA - Obecná matematika

OECD FORD obor

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Projekt

<a href="/cs/project/OC%20274.001" target="_blank" >OC 274.001: Relační struktury v těžení dat a v teorii objevování</a><br>

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2005

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Symbolic and Quantitative Approaches to Reasoning with Uncertainty

ISBN

3-540-27326-3

ISSN

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e-ISSN

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Počet stran výsledku

12

Strana od-do

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Název nakladatele

Springer

Místo vydání

Berlin

Místo konání akce

Barcelona

Datum konání akce

6. 7. 2005

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000230770500069