Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/42623
Título: A practical experience on reusing problem-solving methods for assessment tasks
Autores/as: Rodríguez Rodríguez, Abraham 
Martel-Rodríguez, Gilberto
Márquez-Marfil, Miguel
Quintana-Domínguez, Francisca 
Clasificación UNESCO: 120304 Inteligencia artificial
Palabras clave: Sistemas basados en el conocimiento
Tratamiento de aguas residuales
Problem-solving method
Knowledge-based system
Wastewater treatment technology
Fecha de publicación: 2015
Editor/a: Springer 
Publicación seriada: Lecture Notes in Computer Science 
Conferencia: 15th International Conference on Computer Aided Systems Theory, (EUROCAST 2015)
Resumen: Problem-solving methods (PSMs) facilitate the development of knowledge-based systems (KBSs), which provide an initial scheme to model both the domain knowledge and the inference process. However, the actual benefits of reusing PSMs are still unclear because most of the specifications omit how the structure must be adapted to fit into the current problem. This article describes our experience in the development of a KBS for the selection of wastewater treatment technologies by reusing a well-known PSM from the CommonKADS library. We describe how the adaptation process was performed, which involved both the simplification of the original inference template and the inclusion of new basic inferences.
URI: http://hdl.handle.net/10553/42623
ISBN: 978-3-319-27339-6
ISSN: 0302-9743
DOI: 10.1007/978-3-319-27340-2_25
Fuente: Computer Aided Systems Theory – EUROCAST 2015. EUROCAST 2015. Lecture Notes in Computer Science, v. 9520 LNCS, p. 195-202
Colección:Capítulo de libro
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