On a deductive reasoning model and method for uncertainty

Makoto Suzuki, Toshiyasu Matsushima, Shigeichi Hirasawa

研究成果: Conference article査読

2 被引用数 (Scopus)

抄録

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.

本文言語English
ページ(範囲)161-164
ページ数4
ジャーナルProceedings of the International Conference on Tools with Artificial Intelligence
出版ステータスPublished - 1999
イベントProceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence (ICTAI '99) - Chicago, IL, USA
継続期間: 1999 11 91999 11 11

ASJC Scopus subject areas

  • ソフトウェア

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