AAAI Publications, Workshops at the Twenty-Fourth AAAI Conference on Artificial Intelligence

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Visualization for Structured Constraint Satisfaction Problems
Xingjian Li, Susan L. Epstein

Last modified: 2010-07-07

Abstract


Constraint satisfaction problems are mathematical models of real-world problems. In contrast to randomly generated artificial problems, real-world problems usually have non-random structure. Knowledge about that structure, when identified in advance, can make search to find solutions more effective. This paper introduces DrawCSP, a visualization program that can show both the original and the discovered structure of constraint satisfaction problems. DrawCSP provides insight into both search algorithm design and into the challenges real-world problems present.

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