NDLI: CSL. I. Modelling general N-ary, logical CSPs

Content Provider	IEEE Xplore Digital Library
Author	Tay, J.C. Huang, S.Y. Quek, C.
Copyright Year	1997
Description	Author affiliation: Inf. Technol. Inst., Nat. Comput. Board, Singapore (Tay, J.C.)
Abstract	Examines and details the motivations and design of a constraint specification language (CSL) for user-defined constraints. Many approaches to constraint programming are based on, as well as extended from, the logic programming paradigm. Some of the better-known constraint logic programming languages and systems are CLP, PROLOG III and CHIP. In these languages, unification in conventional logic programming is replaced by constraint satisfaction. Numerical constraints are usually focused on. The technique of constraint satisfaction is therefore hidden from the user. The motivation for developing CSL is not in adding to the myriad of available constraint programming languages, neither is CSL a complete stand-alone package for solving constraint satisfaction problems (CSPs), though it has a mode that allows it to do so. Its main purpose is simpler: CSL serves to enhance the constraint satisfaction aspect of these languages by providing an expressive algebra for describing current definitions of general CSPs as well as extended versions. The descriptions specified in the CSL syntax are efficiently compiled into data structures that are transparently accessed by algorithms normally only associated with binary CSPs.
Starting Page	414
Ending Page	421
File Size	859913
Page Count	8
File Format	PDF
ISBN	0818682035
ISSN	10823409
DOI	10.1109/TAI.1997.632283
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1997-11-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Logic programming Computer languages Packaging Algebra Data structures Information technology Specification languages Program processors Scheduling algorithm Intelligent systems
Content Type	Text
Resource Type	Article

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