Visualization for Structured Constraint Satisfaction Problems

Li, Xingjian (The Graduate Center of The City Unversity of New York) | Epstein, Susan L. (The Graduate Center and Hunter College of The City University of New York)

AAAI Conferences 

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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