On the amount of information resulting from empirical and theoretical knowledge.

Título inglés	On the amount of information resulting from empirical and theoretical knowledge.
Título español	Sobre la cantidad de información resultante del conocimiento empírico y teórico.
Autor/es	Vajda, Igor ; Vesely, Arnost ; Zvarova, Jana
Organización	EuroMISE Cent. Inst. Comput. Sci. Acad. Sci. Czech Rep., Praga, Repúb. Checa
Revista	1139-1138
Publicación	2005, 18 (2): 275-283, 13 Ref.
Tipo de documento	articulo
Idioma	Inglés
Resumen inglés	We present a mathematical model allowing formally define the concepts of empirical and theoretical knowledge. The model consists of a finite set P of predicates and a probability space (Ω, S, P) over a finite set Ω called ontology which consists of objects ω for which the predicates π Î P are either valid (π(ω) = 1) or not valid (π(ω) = 0). Since this is a first step in this area, our approach is as simple as possible, but still nontrivial, as it is demonstrated by examples. More realistic approach would be more complicated, based on a fuzzy logic where the predicates π Î P are valid on the objects ω Î Ω to some degree (0 ≤ π(ω) ≤ 1). We use the classical information divergence to introduce the amount of information in empirical and theoretical knowledge. By an example is demonstrated that information in theoretical knowledge is an extension of the sematic information introduced formerly by Bar Hillel and Carnap as an alternative to the information of Shannon.
Clasificación UNESCO	120318
Palabras clave español	Teoría de la información ; Bases de conocimiento ; Medidas de información ; Semántica ; Lógica difusa
Código MathReviews	MR2166509
Código Z-Math	Zbl 1076.62006
Acceso al artículo completo