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Updates and Uncertainty in CP-Nets

机译:CP-Net中的更新和不确定性

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In this paper we present a two-fold generalization of conditional preference networks (CP-nets) that incorporates uncertainty. CP-nets are a formal tool to model qualitative conditional statements (cp-statements) about preferences over a set of objects. They are inherently static structures, both in their ability to capture dependencies between objects and in their expression of preferences over features of a particular object. Moreover, CP-nets do not provide the ability to express uncertainty over the preference statements. We present and study a generalization of CP-nets which supports changes and allows for encoding uncertainty, expressed in probabilistic terms, over the structure of the dependency links and over the individual preference relations.
机译:在本文中,我们提出了包含不确定性的条件偏好网络(CP-nets)的两种概括。 CP-net是一种正式的工具,用于对关于一组对象的偏好的定性条件语句(cp语句)进行建模。它们本质上是静态结构,既可以捕获对象之间的依存关系,又可以表达对特定对象特征的偏好。而且,CP网络不提供表达偏好声明不确定性的能力。我们提出并研究了CP-net的一般化,它支持更改并允许对不确定性进行编码,这些不确定性以概率术语表示,依赖关系的结构以及个体偏好关系上的概率。

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