NDLI: Solving conditional and composite temporal constraints

Content Provider	IEEE Xplore Digital Library
Author	Mouhoub, M. Sukpan, A.
Copyright Year	2004
Description	Author affiliation: Dept. of Comput. Sci., Regina Univ., Sask., Canada (Mouhoub, M.; Sukpan, A.)
Abstract	One of the main challenges when designing constraint based systems in general and those involving temporal constraints in particular, is the ability to deal with conditional constraints and composite variables. Indeed, in this particular case the set of variables involved by the constraint problem to be solved is not known in advance. More precisely, while some variables (called initial variables) are available in the initial problem, others are added dynamically to the problem during the resolution process via activity constraints and composite variables. Activity constraints allow some variables to be activated (added to the problem) when activity conditions are true. Composite variables are variables whose values are the possible variables each composite variable can take. We propose a method based on constraint propagation for solving efficiently constraint problems involving numeric and symbolic temporal constraints, composite variables and activity constraints. We call these latter problems conditional and composite temporal constraint satisfaction problems (CCTCSPs). Experimental evaluation conducted on randomly generated CCTCSPs demonstrates the efficiency of our method to solve these problems especially when using the forward check strategy during the search.
Sponsorship	IEEE Comput. Soc.
Starting Page	734
Ending Page	741
File Size	179635
Page Count	8
File Format	PDF
ISBN	076952236X
ISSN	10823409
DOI	10.1109/ICTAI.2004.109
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-11-15
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science Process planning Natural language processing Databases Time factors Quality management Calculus Algebra Artificial intelligence
Content Type	Text
Resource Type	Article

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