We study a generalization of the constraint satisfaction problem (CSP), the periodic constraint satisfaction problem. An input instance of the periodic CSP is a finite set of “generating” constraints over a structured variable set that implicitly specifies a larger, possibly infinite set of constraints; the problem is to decide whether or not the larger set of constraints has a satisfying assignment. This model is natural for studying constraint networks consisting of constraints obeying a high degree of regularity or symmetry. Our main contribution is the identification of two broad polynomial-time tractable subclasses of the periodic CSP
Constraint satisfaction problems (CSPs) are an important formal framework for the uniform treatment ...
Constraint Satisfaction Problems (CSPs) are a class of decision problems where one usually fixes a s...
. The class of constraint satisfaction problems (CSPs) over finite domains has been shown to be NP-c...
We study a generalization of the constraint satisfaction problem (CSP), the periodic constraint sati...
International audienceEven though the Constraint Satisfaction Problem (CSP) is NP-complete, many tra...
The tractability conjecture for constraint satisfaction problems (CSPs) describes the constraint la...
AbstractMany fundamental tasks in artificial intelligence and in combinatorial optimization can be f...
International audienceA famous result by Jeavons, Cohen, and Gyssens shows that every constraint sat...
International audienceA famous result by Jeavons, Cohen, and Gyssens shows that every constraint sat...
International audienceA famous result by Jeavons, Cohen, and Gyssens shows that every constraint sat...
International audienceA famous result by Jeavons, Cohen, and Gyssens shows that every constraint sat...
A wide range of problems can be modelled as constraint satisfaction problems (CSPs), that is, a set ...
The constraint satisfaction problem (CSP) comprises n variables with associated finite domains (with...
International audienceA famous result by Jeavons, Cohen, and Gyssens shows that every constraint sat...
Many fundamental tasks in artificial intelligence and in combinatorial optimization can be formulate...
Constraint satisfaction problems (CSPs) are an important formal framework for the uniform treatment ...
Constraint Satisfaction Problems (CSPs) are a class of decision problems where one usually fixes a s...
. The class of constraint satisfaction problems (CSPs) over finite domains has been shown to be NP-c...
We study a generalization of the constraint satisfaction problem (CSP), the periodic constraint sati...
International audienceEven though the Constraint Satisfaction Problem (CSP) is NP-complete, many tra...
The tractability conjecture for constraint satisfaction problems (CSPs) describes the constraint la...
AbstractMany fundamental tasks in artificial intelligence and in combinatorial optimization can be f...
International audienceA famous result by Jeavons, Cohen, and Gyssens shows that every constraint sat...
International audienceA famous result by Jeavons, Cohen, and Gyssens shows that every constraint sat...
International audienceA famous result by Jeavons, Cohen, and Gyssens shows that every constraint sat...
International audienceA famous result by Jeavons, Cohen, and Gyssens shows that every constraint sat...
A wide range of problems can be modelled as constraint satisfaction problems (CSPs), that is, a set ...
The constraint satisfaction problem (CSP) comprises n variables with associated finite domains (with...
International audienceA famous result by Jeavons, Cohen, and Gyssens shows that every constraint sat...
Many fundamental tasks in artificial intelligence and in combinatorial optimization can be formulate...
Constraint satisfaction problems (CSPs) are an important formal framework for the uniform treatment ...
Constraint Satisfaction Problems (CSPs) are a class of decision problems where one usually fixes a s...
. The class of constraint satisfaction problems (CSPs) over finite domains has been shown to be NP-c...