Memorias de investigación
Artículos en revistas:
A Groebner bases-based approach to backward reasoning in rule based expert systems
Año:2009

Áreas de investigación
  • Inteligencia artificial

Datos
Descripción
The aim of this paper is to present theoretically a new algebraic method for detecting potentially dangerous states in a Rule Based Expert System whose knowledge is represented by propositional Boolean logic. Given a dangerous state which does not happen at present, our method is able to detect a possible input fact such that, if it also occurred, the dangerous situation really would happen. This method, inspired by automatic discovery of geometric theorems, is based on calculating just one reduced Groebner basis of a polynomial ideal representing the system¿s knowledge. An implementation in the computer algebra system Maple is included.
Internacional
Si
JCR del ISI
Si
Título de la revista
ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE
ISSN
1012-2443
Factor de impacto JCR
0,722
Información de impacto
Volumen
DOI
Número de revista
0
Desde la página
297
Hasta la página
311
Mes
ENERO
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Participantes
  • Participante: Eugenio Roanes Macías Universidad Complutense de Madrid
  • Participante: Eugenio Roanes Lozano Universidad Complutense de Madrid
  • Autor: Antonio Hernando Esteban UPM
  • Autor: Luis Maria Laita De la Rica UPM

Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Departamento: Sistemas Inteligentes Aplicados
  • Departamento: Inteligencia Artificial