]> 2012-02-11T03:46:18-05:00 A Framework for Comparing Alternative Formalisms for Plausible Reasoning We present a logical relationship between a small number of intuitive properties for measures of belief and the axioms of probability theory. The relationship was first demonstrated several decades ago but has remained obscure. We introduce the proof and discuss its relevance to research on reasoning under uncertainty in artificial intelligence. In particular, we demonstrate that the logical relationship can facilitate the identification of differences among alternative plausible reasoning methodologies. Finally, we make use of the relationship to examine popular non-probabilistic strategies. inproceedings 210-214,1986 A Framework for Comparing Alternative Formalisms for Plausible Reasoning AAAI 1986 Journal Memo 5 pages. A Framework for Comparing Alternative Formalisms for Plausible Reasoning 1986 Year Title Morgan Kaufmann Publisher GOOGLE Process note 210-214 Pages Note Ksl tr id Has year Has where published Has title Has publishing details Has identifier Has author The National Conference on Artificial Intelligence Booktitle Bibtype Eric Horvitz and David Heckerman and Curtis Langlotz Author Abstract KSL Technical Report Publication InProceedings