DocumentCode :
2178040
Title :
DDCSP: Constraint Satisfaction Problem Used for Rule-Based System
Author :
Saad, Belaïd ; Herrmann, Francine ; Lanuel, Yann ; Tamisier, Thomas
Author_Institution :
LITA, Metz Univ., Metz, France
fYear :
2010
fDate :
9-10 Feb. 2010
Firstpage :
240
Lastpage :
244
Abstract :
We present here an approach for solving rule based system with constraint satisfaction model. There exist but a few trials to model expert systems with constraint satisfaction problems. However, the CSP basic paradigm is not powerful enough to capture or to take advantage of essential aspects of rule based systems, such as the a priori unknown number of constituent parts of a system or the inherent internal structure of these parts. Although notable efforts have been spent on extending the basic paradigm to accommodate these issues, we still lack a comprehensive CSP formalism of rule based system. This paper presents the main ideas behind a general constraint model of rule based system represented as a new class of non standard constraint satisfaction problems called DDCSP (Dynamic Domain Constraint Satisfaction Problem). DDCSP unify several CSP extensions, providing a more comprehensive and efficient framework for rule based reasoning.
Keywords :
constraint theory; expert systems; inference mechanisms; operations research; constraint satisfaction problem; dynamic domain constraint satisfaction problem; expert systems modeling; rule based reasoning; rule-based system; Artificial intelligence; Data engineering; Electronic mail; Expert systems; Humans; Knowledge based systems; Logic; Memory; Power system modeling; Production systems; algorithm of resolution; constraint satisfaction problem; production rule; rule based system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Storage and Data Engineering (DSDE), 2010 International Conference on
Conference_Location :
Bangalore
Print_ISBN :
978-1-4244-5678-9
Type :
conf
DOI :
10.1109/DSDE.2010.51
Filename :
5452578
Link To Document :
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