Abstract. Constraint propagation can sometimes be described conveniently in a rule-based way. Propagation is then fixpoint computation with rules. In the typical case when no specific strategy guides the fixpoint computation, it is preferable to have a minimal set of rules. We propose a natural criterion for redundancy of a rule, and describe a test for a class of rules. Its relevance is demonstrated by applying it to several rule sets from two important approaches to automatic rule generation.
Abstract. Developing constraint solvers which are key requisites of con-straint programming language...
AbstractFuture redundant inequalities in a constraint logic program are those that are guaranteed to...
Rule-based systems have long been widely used for building expert systems to perform practical knowl...
We study here a natural situation when constraint programming can be entirely reduced to rule-based ...
AbstractConstraint propagation can often be conveniently expressed by rules. In recent years, a numb...
A widely adopted approach to solving constraint satisfaction problems combines backtracking tree sea...
International audienceA general approach to implement propagation and simplification of constraints ...
Article dans revue scientifique avec comité de lecture.In this paper we present a view of constraint...
This paper describes our experience with a simple modeling and programming approach for increasing t...
Abstract. Inductive Constraint Solving is a subfield of inductive ma-chine learning concerned with t...
. We study here constraint satisfaction problems that are based on predefined, explicitly given fini...
Constraint Handling Rules (CHR) allow one to specify and implement both propagation and simplificati...
A constraint language ? has non-redundancy f(n) if every instance of CSP(?) with n variables contain...
Abstract: Despite successful application of constraint programming (CP) to solving many real-life pr...
. We provide here a simple, yet very general framework that allows us to explain several constraint ...
Abstract. Developing constraint solvers which are key requisites of con-straint programming language...
AbstractFuture redundant inequalities in a constraint logic program are those that are guaranteed to...
Rule-based systems have long been widely used for building expert systems to perform practical knowl...
We study here a natural situation when constraint programming can be entirely reduced to rule-based ...
AbstractConstraint propagation can often be conveniently expressed by rules. In recent years, a numb...
A widely adopted approach to solving constraint satisfaction problems combines backtracking tree sea...
International audienceA general approach to implement propagation and simplification of constraints ...
Article dans revue scientifique avec comité de lecture.In this paper we present a view of constraint...
This paper describes our experience with a simple modeling and programming approach for increasing t...
Abstract. Inductive Constraint Solving is a subfield of inductive ma-chine learning concerned with t...
. We study here constraint satisfaction problems that are based on predefined, explicitly given fini...
Constraint Handling Rules (CHR) allow one to specify and implement both propagation and simplificati...
A constraint language ? has non-redundancy f(n) if every instance of CSP(?) with n variables contain...
Abstract: Despite successful application of constraint programming (CP) to solving many real-life pr...
. We provide here a simple, yet very general framework that allows us to explain several constraint ...
Abstract. Developing constraint solvers which are key requisites of con-straint programming language...
AbstractFuture redundant inequalities in a constraint logic program are those that are guaranteed to...
Rule-based systems have long been widely used for building expert systems to perform practical knowl...