Synthesis of solutions for shaded area geometry problems
Document Type
Conference Proceeding
Publication Date
1-1-2017
Abstract
We motivate and address the task of automatically solving shaded area geometry problems. Our approach consists of identifying atomic regions in a coordinate-based geometry figure, building an analysis hypergraph representing all facts that can be derived of the figure (using saturation based reasoning), and then finding a path in the hypergraph from the given facts to the goal. On a corpus of 102 problems taken from popular high-school geometry textbooks, our tool GeoShader successfully solved and characterized all problems in an average time of 13.4 seconds.
Publication Source (Journal or Book title)
Flairs 2017 Proceedings of the 30th International Florida Artificial Intelligence Research Society Conference
First Page
14
Last Page
19
Recommended Citation
Alvin, C., Gulwani, S., Majumdar, R., & Mukhopadhyay, S. (2017). Synthesis of solutions for shaded area geometry problems. Flairs 2017 Proceedings of the 30th International Florida Artificial Intelligence Research Society Conference, 14-19. Retrieved from https://repository.lsu.edu/enviro_sciences_pubs/407