arXiv · 0903.1659
Heuristic Reasoning on Graph and Game Complexity of Sudoku
Abstract
The Sudoku puzzle has achieved worldwide popularity recently, and attracted great attention of the computational intelligence community. Sudoku is always considered as Satisfiability Problem or Constraint Satisfaction Problem. In this paper, we propose to focus on the essential graph structure underlying the Sudoku puzzle. First, we formalize Sudoku as a graph. Then a solving algorithm based on heuristic reasoning on the graph is proposed. The related r-Reduction theorem, inference theorem and their properties are proved, providing the formal basis for developments of Sudoku solving systems. In order to evaluate the difficulty levels of puzzles, a quantitative measurement of the complexity level of Sudoku puzzles based on the graph structure and information theory is proposed. Experimental results show that all the puzzles can be solved fast using the proposed heuristic reasoning, and that the proposed game complexity metrics can discriminate difficulty levels of puzzles perfectly.
Explore related subjects
Keep this discovery
Zhe Chen. 2009-03-09. Heuristic Reasoning on Graph and Game Complexity of Sudoku. https://arxiv.org/abs/0903.1659
Cite the original work for its findings. Save a collection to share your selection of sources.