On the information content of knowledge

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F07%3A19964" target="_blank" >RIV/60460709:41110/07:19964 - 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

On the information content of knowledge

Popis výsledku v původním jazyce

Information content of theoretical knowledge stated in predicate calculus formulas is considered. To behave efficiently in the surrounding world means to have a good approximation of the true probability distribution of its states p. Therefore the validformula or theory enabling to estimate p is "informative", and it is the more informative the more accurate the estimate is. Getting a message that a formula is valid or valid with some probability leads to a refinement of the current estimate q by a natural rule into a new estimate q´. The difference of information-theoretic divergences is a natural measure of the amount of information contained in the formula. In this paper we proved that a theory or a fuzzy theory that is more informative according to the introduced information measure enables more precise approximation of the underlying true distribution p. We also proved that the introduced information measure can be evaluated even if the distribution p is not known. Generating kno

Název v anglickém jazyce

On the information content of knowledge

Popis výsledku anglicky

Information content of theoretical knowledge stated in predicate calculus formulas is considered. To behave efficiently in the surrounding world means to have a good approximation of the true probability distribution of its states p. Therefore the validformula or theory enabling to estimate p is "informative", and it is the more informative the more accurate the estimate is. Getting a message that a formula is valid or valid with some probability leads to a refinement of the current estimate q by a natural rule into a new estimate q´. The difference of information-theoretic divergences is a natural measure of the amount of information contained in the formula. In this paper we proved that a theory or a fuzzy theory that is more informative according to the introduced information measure enables more precise approximation of the underlying true distribution p. We also proved that the introduced information measure can be evaluated even if the distribution p is not known. Generating kno

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2007

Kód důvěrnosti údajů

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

Název statě ve sborníku

Artificial Intelligence and Soft Computing

ISBN

978-0-88986-693-5

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

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Název nakladatele

ACTA Press

Místo vydání

Anaheim, Calgary,Zurych

Místo konání akce

Palma de Mallorca

Datum konání akce

29. 8. 2007

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000250957100007