Add to ORKGAbstract. Many real life problems that can be modeled as Constraint Satisfaction Problems (CSPs) come from uncertain and dynamic environments, so the original solution found might become invalid after changes. Here, we study the problem of find-ing robust solutions for CSPs under the assumptions that domains are significantly ordered and that changes take the form of restrictions or relaxations at the borders of the solution space of the CSPs
We develop a framework for finding robust solutions of constraint programs. Our approach is based on...
Existing techniques for solving constraint satisfaction problems (CSPs) are largely concerned with a...
Abstract. Complete algorithms for constraint solving typically exploit properties like (in)consisten...
Many real life problems that can be modeled as Constraint Satisfaction Problems (CSPs) come from unc...
Constraint programming is a paradigm wherein relations between variables are stated in the form of c...
[EN] Many real life problems that can be solved by constraint programming, come from uncertain and d...
Constraint programming is a paradigm wherein relations between variables are stated in the form of ...
Many real-world problems in Artificial Intelligence (AI) as well as in other areas of computer scien...
Abstract. Many real-world problems in Artificial Intelligence (AI) as well as in other areas of comp...
Often, real-world Constraint Satisfaction Problems (CSPs) are subject to uncertainty/dynamism not kn...
[EN] Constraint programming is a successful technology for solving combinatorial problems modeled a...
Often, real-world Constraint Satisfaction Problems (CSPs) are subject to uncertainty/dynamism not kn...
AbstractMany fundamental tasks in artificial intelligence and in combinatorial optimization can be f...
Many fundamental tasks in artificial intelligence and in combinatorial optimization can be formulate...
Many real life problems that can be solved by constraint programming, come from uncertain and dynami...
We develop a framework for finding robust solutions of constraint programs. Our approach is based on...
Existing techniques for solving constraint satisfaction problems (CSPs) are largely concerned with a...
Abstract. Complete algorithms for constraint solving typically exploit properties like (in)consisten...
Many real life problems that can be modeled as Constraint Satisfaction Problems (CSPs) come from unc...
Constraint programming is a paradigm wherein relations between variables are stated in the form of c...
[EN] Many real life problems that can be solved by constraint programming, come from uncertain and d...
Constraint programming is a paradigm wherein relations between variables are stated in the form of ...
Many real-world problems in Artificial Intelligence (AI) as well as in other areas of computer scien...
Abstract. Many real-world problems in Artificial Intelligence (AI) as well as in other areas of comp...
Often, real-world Constraint Satisfaction Problems (CSPs) are subject to uncertainty/dynamism not kn...
[EN] Constraint programming is a successful technology for solving combinatorial problems modeled a...
Often, real-world Constraint Satisfaction Problems (CSPs) are subject to uncertainty/dynamism not kn...
AbstractMany fundamental tasks in artificial intelligence and in combinatorial optimization can be f...
Many fundamental tasks in artificial intelligence and in combinatorial optimization can be formulate...
Many real life problems that can be solved by constraint programming, come from uncertain and dynami...
We develop a framework for finding robust solutions of constraint programs. Our approach is based on...
Existing techniques for solving constraint satisfaction problems (CSPs) are largely concerned with a...
Abstract. Complete algorithms for constraint solving typically exploit properties like (in)consisten...