A Theory of Metric Spatial Inference
Abstract
Efficient and robust spatial reasoning requires that the properties of real space be taken seriously. One approach to doing this is to assimilate facts into a fuzzy map of the positions and orientations of the objects involved in those facts. Then many inferences about distances and directions may be made by just looking at the map, to determine bounds on quantities of interest. For flexibility, there must be many frames of reference with respect to which coordinates are measure. The resulting representation supports many tasks, including finding routes from one place to another.
Cite
Text
McDermott. "A Theory of Metric Spatial Inference." AAAI Conference on Artificial Intelligence, 1980. doi:10.1055/s-2007-1008965Markdown
[McDermott. "A Theory of Metric Spatial Inference." AAAI Conference on Artificial Intelligence, 1980.](https://mlanthology.org/aaai/1980/mcdermott1980aaai-theory/) doi:10.1055/s-2007-1008965BibTeX
@inproceedings{mcdermott1980aaai-theory,
title = {{A Theory of Metric Spatial Inference}},
author = {McDermott, Drew V.},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {1980},
pages = {246-248},
doi = {10.1055/s-2007-1008965},
url = {https://mlanthology.org/aaai/1980/mcdermott1980aaai-theory/}
}