A neural implementation of multi-adjoint logic programs via sf-homogenization
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A neural implementation of multi-adjoint logic programs via sf-homogenization
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| Id. |
44781155 |
| Idioma |
eng
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| Titulo |
A neural implementation of multi-adjoint logic programs via sf-homogenization |
| Autor(es) |
Medina, J.
Mérida Casermeiro, Enrique
Ojeda Aciego, Manuel
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| Localización |
http://dialnet.unirioja.es/servlet/oaiart?codigo=2875908
(Revista) ISSN 1134-5632
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| Versión |
1.0 |
| Estado |
Final
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| Descripción |
A generalization of the homogenization process needed for the neural implementation of multi-adjoint logic programming (a unifying theory to deal with uncertainty, imprecise data or incomplete information) is presented here. The idea is to allow to represent a more general family of adjoint pairs, but maintaining the advantage of the existing implementation recently introduced in [6]. The soundness of the transformation is proved and its complexity is analysed. In addition, the corresponding generalization of the neural-like implementation of the fixed point semantics of multi-adjoint is presented.
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| Palabras clave |
Programación lógica
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| Tipo de recurso |
text (article)
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| Tipo de Interactividad |
Expositivo
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| Nivel de Interactividad |
muy bajo
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| Audiencia |
Estudiante
Profesor
Autor
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| Estructura |
Atomic |
| Coste |
no
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| Copyright |
sí
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free |
| Requerimientos técnicos |
Browser: Any
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| Relación |
[IsBasedOn] Mathware & soft computing, ISSN 1134-5632, Vol. 12, Nº. 3, 2005, pags. 199-216
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| Fecha de contribución |
24-jun-2009 |
| Contacto |
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