Coherent conditional probability as a tool for default reasoning

被引：5

作者：

Coletti, G ^{[1
]}

Scozzafava, R ^{[1
]}

Vantaggi, B ^{[1
]}

机构：

[1] Univ Perugia, Dip Matemat & Informat, I-06100 Perugia, Italy

来源：

INTELLIGENT SYSTEMS FOR INFORMATION PROCESSING: FROM REPRESENTATION TO APPLICATIONS | 2003年

关键词：

conditional probability; coherence; default reasoning;

D O I：

10.1016/B978-044451379-3/50015-7

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper we face the problem of representing default rules by means of a suitable coherent conditional probability, defined on a family of conditional events. An event is singled-out (in our approach) by a proposition, that is a statement that can be either true or false; a conditional event is consequently defined by means of two propositions and is a multi-valued entity related (in this context) to a conditional probability. We stress the simplicity of our approach (Occam's razor...!) with respect to other well-known methodologies.

引用

页码：191 / 202

页数：12

共 19 条

[1]

Adams ErnestW., 1975, LOGIC CONDITIONALS A

[2] Nonmonotonic reasoning, conditional objects and possibility theory [J].