Constraint processing offers improved expressiveness and inference for interactive expert systems

Authors:
James Bowen
Affiliations:
Department of Computer Science, UCC, Cork, Ireland
Venue:
ERCIM'02/CologNet'02 Proceedings of the 2002 Joint ERCIM/CologNet international conference on Constraint solving and constraint logic programming
Year:
2002

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Abstract

Expert systems constitute one of the most successful application areas for Artificial Intelligence techniques; they have been deployed in many areas of industry and commerce. If-then rules are the core knowledge representation technology in currently deployed systems. However, if we replace rules by constraints, we get improved expressiveness in knowledge representation and richer inference.