Qualitative probability and order of magnitude reasoning

Authors:
Simon Parsons
Affiliations:
Department of Computer and Information Science, Brooklyn College, 2900 Bedford Avenue, Brooklyn, NY
Venue:
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Year:
2003

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Abstract

In recent years there has been a spate of papers describing systems for probabilistic reasoning which do not use numerical probabilities. In some cases these systems are unable to make any useful inferences because they deal with changes in probability at too high a level of abstraction. This paper discusses one of the problems this level of abstraction can cause, and shows how the use of a technique for order of magnitude reasoning can reduce its impact.