BibTeX
@MISC{Cohn96calculifor,
author = {A.G. Cohn},
title = {Calculi for Qualitative Spatial Reasoning},
year = {1996}
}
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Abstract
. Although Qualitative Reasoning has been a lively subfield of AI for many years now, it is only comparatively recently that substantial work has been done on qualitative spatial reasoning; this paper lays out a guide to the issues involved and surveys what has been achieved. The papers is generally informal and discursive, providing pointers to the literature where full technical details may be found. 1 What is Qualitative Reasoning? The principal goal of Qualitative Reasoning (QR) [86] 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 or is computationally intractable. The key to a qualitative ...
Keyphrases
qualitative spatial reasoning qualitative reasoning full technical detail physical world substantial work principal goal qualitative manner everyday commonsense knowledge quantitative model physical system appropriate reasoning method precise quantitative description many year underlying abstraction
