Title :
About Look-Ahead Algorithms in Constraint Satisfaction Problems
Author :
Chmeiss, Assef ; Sais, Lakhdar
Author_Institution :
CRIL-CNRS, University of Artois, rue Jean Souvraz - SP 18 62307 Lens Cedex, France. chmeiss@cril.univ-artois.fr
Abstract :
Many problems in Artificial Intelligence can be solved using the Constraint Satisfaction Problems (CSPs) techniques. CSPs are, generally, solved using backtrack based algorithms. A large variety of algorithms has been proposed to deal with CSPs. In this paper, we focus on the look-ahead algorithms in CSPs (namely the most popular ones: Forward-Checking and Maintaining Arc-Consistency), and we propose a generic approach which maintains a restricted form of arc-consistency during the search process. We also give a way to exploit another form of local consistency: the Directed Path-Consistency.
Keywords :
Constraint Satisfaction Problems; Maintaining local consistency; Artificial intelligence; Engines; Filtering; Lenses; Constraint Satisfaction Problems; Maintaining local consistency;
Conference_Titel :
Information and Communication Technologies, 2006. ICTTA '06. 2nd
Print_ISBN :
0-7803-9521-2
DOI :
10.1109/ICTTA.2006.1684979