Proceedings

A New Method for Solving Constraint Satisfaction Problems

Download BibTeX Cite

Proceedings of the Seventh International Joint Conference on Artificial Intelligence. INFERENCE and REASONING. Pages 338-341.

Abstract

This paper deals with the combinatorial search problem of finding values for a set of variables subject to a set of constraints. This problem is referred to as a constraint satisfaction problem. We present an algorithm for finding all the solutions of a constraint satisfaction problem with worst case time bound O(m*kf+l) and space bound O(n*kf+1 ), where n is the number of variables in the problem, m the number of constraints, k the cardinality of the domain of the variables, and f <n an integer depending only on a graph which is associated with the problem. It will be shown that for planar graphs and graphs of fixed genus this f is O( / nJ.

Raimund Seidel. 1981. A New Method for Solving Constraint Satisfaction Problems. In Proceedings of the Seventh International Joint Conference on Artificial Intelligence, IJCAI-81. IJCAI, 338–341. https://ijcai.org/proceedings/1981/66
Welcome Future Conferences AI Journal Division IJCAI Proceedings About IJCAI IJCAI Awards