On the information content of knowledge

Result code in 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>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
On the information content of knowledge
Original language description
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
Czech name
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Czech description
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Publication year
2007
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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