Effective reuse of Knowledge Bases (KBs) often entails the expensive task of identifying plausible KB-PS (Problem Solver) combinations. We propose a novel technique based on Const...
Tomas Eric Nordlander, Derek H. Sleeman, Ken N. Br...
Abstract. Constraint satisfaction problems provide strong formalism for modeling variety of real life problems. This paper presents a work currently in progress of which the goal i...
Abstract. Constraint Satisfaction Problems and Propositional Satisfiability, are frameworks widely used to represent and solve combinatorial problems. A concept of primary importan...
Many AI tasks can be formalized as constraint satisfaction problems (CSPs), which involve finding values for variables subject to a set of constraints. While solving a CSP is an ...
Abstract. Constraint Satisfaction has been widely used to model static combinatorial problems. However, many AI problems are dynamic and take place in a distributed environment, i....