Spatial reasoning based on rules
2005
In this article, we investigate the problem of checking consistency in a hybrid formalism, which combines two essential formalisms in qualitative spatial reasoning: topological formalism and cardinal direction formalism. Although much work has been done in developing composition tables for these formalisms, the previous research for integrating heterogeneous formalisms was not sufficient. Instead of using conventional composition tables, we investigate the interactions between topological and cardinal directional relations with the aid of rules that are used efficiently in many research fields such as content-based image retrieval. These rules are shown to be sound, i.e. the deductions are logically correct. Based on these rules, an improved constraint propagation algorithm is introduced to enforce the path consistency. The results of computational complexity of checking consistency for constraint satisfaction problems based on various subsets of this hybrid formalism are presented at the end of this article.
Keywords:
- Machine learning
- Formalism (philosophy)
- Spatial intelligence
- Computer science
- Artificial intelligence
- Rotation formalisms in three dimensions
- Computational complexity theory
- Content-based image retrieval
- Local consistency
- Constraint logic programming
- Constraint satisfaction problem
- Theoretical computer science
- Algorithm
- Image retrieval
- Correction
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- Cite
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