Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 161-164 |
| Number of pages | 4 |
| Journal | Proceedings of the International Conference on Tools with Artificial Intelligence |
| Publication status | Published - 1999 |
| 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
- Software