人工知能
Online ISSN : 2435-8614
Print ISSN : 2188-2266
人工知能学会誌(1986~2013, Print ISSN:0912-8085)
不確実な知識を表現する非古典論理のモデル
月本 洋
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解説誌・一般情報誌 フリー

1993 年 8 巻 3 号 p. 367-376

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This paper presents a nonclassical logical model for the representation of uncertain knowledge. This paper is theoretically based on logic-probability dualism instead of logic monism. Firstly, the author shows that there is a correspondence between classical logic and the probability of independent events. This correspondence is extended to non-independent events. Consequently, a model for nonclassical logics is obtained. This model can be made into a Euclidean space, therefore logical functions can be represented as vectors (logical vectors). An information is introduced on the Iogical vectors. The author proves the information equals the ordinary information. A transformation formula from probability vectors to logical vectors is introduced. Due to these concepts, the discussion on the representation of uncertain propositions are possible.

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© 1993 人工知能学会
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