In this paper, we will discuss a problem of deduction with uncertainty that has been dealt with by various diagnostic expert systems. Our two main points are as follows. First, we will propose a mathematical framework of deductive reasoning with uncertainty. Our framework will clarify that a subject of the reasoning is a calculation of conditional probabilities. Second, we will establish a new reasoning method. Our deduction algorithm can compute the conditional probabilities precisely. To put it the other way around, the result minimizes a divergence.
|Number of pages||4|
|Journal||Proceedings of the International Conference on Tools with Artificial Intelligence|
|Publication status||Published - 1999 Dec 1|
|Event||Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence (ICTAI '99) - Chicago, IL, USA|
Duration: 1999 Nov 9 → 1999 Nov 11
ASJC Scopus subject areas