Qualitative Probability and Order of Magnitude Reasoning

Author:

Parsons Simon1

Affiliation:

1. Department of Computer and Information Science, Brooklyn College, 2900 Bedford Avenue, Brooklyn, NY 11210, USA

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.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Information Systems,Control and Systems Engineering,Software

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Explaining Bayesian Belief Revision for Legal Applications;FRONT ARTIF INTEL AP;2016

2. On modelling non-probabilistic uncertainty in the likelihood ratio approach to evidential reasoning;Artificial Intelligence and Law;2014-04-24

3. Towards Argumentation about Subjective Probabilities;FRONT ARTIF INTEL AP;2012

4. A PDL APPROACH FOR QUALITATIVE VELOCITY;International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems;2011-02

5. A Framework for Intelligent Analysis of Intelligence Data;Studies in Computational Intelligence;2011

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