Qualitative Direction Calculi with Arbitrary Granularity
Type of publication: | Inproceedings |
Citation: | renz_mitra_04_qualitative |
Booktitle: | PRICAI 2004: Trends in Artificial Intelligence, 8th Pacific Rim International Conference on Artificial Intelligence, Proceedings |
Year: | 2004 |
Pages: | 65-74 |
Publisher: | Springer |
ISBN: | 3-540-22817-9 |
Abstract: | Binary direction relations between points in two-dimensional space are the basis to any qualitative direction calculus. Previous calculi are only on a very low level of granularity. In this paper we propose a generalization of previous approaches which enables qualitative calculi with an arbitrary level of granularity. The resulting calculi are so powerful that they can even emulate a quantitative representation based on a coordinate system. We also propose a less powerful, purely qualitative version of the generalized calculus. We identify tractable subsets of the generalized calculus and describe some applications for which these calculi are useful. |
Userfields: | date-added={2012-09-03 15:47:30 +0200}, date-modified={2012-09-03 15:47:30 +0200}, project={fremdliteratur}, registry={A261 E74}, |
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