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Qualitative Spatial Representation and Reasoning Techniques (1997)
| Citations: | 120 - 9 self |
BibTeX
@INPROCEEDINGS{Cohn97qualitativespatial,
author = {A.G. Cohn},
title = {Qualitative Spatial Representation and Reasoning Techniques},
booktitle = {},
year = {1997},
pages = {1--30},
publisher = {Springer}
}
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Abstract
. The field of Qualitative Spatial Reasoning is now an active research area in its own right within AI (and also in Geographical Information Systems) having grown out of earlier work in philosophical logic and more general Qualitative Reasoning in AI. In this paper (which is an updated version of [25]) I will survey the state of the art in Qualitative Spatial Reasoning, covering representation and reasoning issues as well as pointing to some application areas. 1 What is Qualitative Reasoning? The principal goal of Qualitative Reasoning (QR) [129] is to represent not only our everyday commonsense knowledge about the physical world, but also the underlying abstractions used by engineers and scientists when they create quantitative models. Endowed with such knowledge, and appropriate reasoning methods, a computer could make predictions, diagnoses and explain the behaviour of physical systems in a qualitative manner, even when a precise quantitative description is not available 1 ...
Keyphrases
reasoning technique qualitative spatial representation qualitative spatial reasoning geographical information system physical world application area active research area philosophical logic qualitative manner principal goal everyday commonsense knowledge updated version quantitative model physical system general qualitative reasoning appropriate reasoning method qualitative reasoning precise quantitative description underlying abstraction
