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11 Algunas Aplicaciones de las Redes Bayesianas en Ingeniería

Authors: Castillo, E.; Gutiérrez, J.M.; Hadi, A.S.;

11 Algunas Aplicaciones de las Redes Bayesianas en Ingeniería

Abstract

Un Sistema Experto es una herramienta informática que es capaz de simular el comportamiento de un experto humano en una materia especializada. Un problema clave en el desarrollo de sistemas expertos es encontrar la forma de representar y usar el conocimiento que los expertos humanos en esa materia poseen y utilizan. Este problema se hace más difícil por el hecho de que. En muchos campos, el conocimiento de los expertos es a menudo impreciso o incierto y. sin embargo, los expertos son capaces de llegar a conclusiones útiles. Por tanto, todo sistema experto que pretenda razonar 'como si' lo hiciese un ser humano debe ser capaz de trabajar con este tipo de información. Uno de los formalismos mas potentes y mejor desarrollados para el tratamiento del conocimiento incierto es la Teoría de la Probabilidad, que nos permite medir la creencia que tenemos en la ocurrencia de un determinado suceso. Este libro recoge los trabajos presentados en el VIII Curso de Verano de Informática: Sistemas Expertos Probabilísticos. Por parte de un grupo de relevantes investigadores nacionales en el tema.

Country
Spain
Related Organizations
Keywords

Expertos probabilísticos, Metodos exactos, Algoritmos de Propagación, Modelos gráficos, Gráficos Dinámicos

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green