Bayes网络与关系模型的集成:概率关系模型

对象关系模型和Bayes网络分别是关系理论和概率理论两个不同领域中最重要的模型，它们首次集成于本文引入的概率关系模型中，作为新型的概率模型，概率关系模型不仅继承了Bayes网络的大部分优点，而且关系特征和对象的概念使它能有效地克服Bayes网络在许多方面的不足，而成为对复杂系统模建的理想工具，是对Bayes网络的重要创新；作为新型的关系模型，概率关系模型也是对传统关系模型的重要创新，具备概率特征的对象关系模型有了处理不确定性问题的能力。概率关系模型的创建对复杂智能信息系统开发研究有有着特别重要的意义，本文首先评述Bayes网络和对象关系模型，然后在此基础上引入概率关系模型。

The Integration of Bayesian Networks & Relational Models: Probabilistic Relational Models

Object Relation al Models and Bayesian Networks are most important models respectively belong to two complete dif-ferent domains of Relational theory and Probabilistic theory ,they are first integrated into Probabili stic Relational Models introduced in this paper.As a new type of Probabi listic Models,Proba-bilistic Relational M odels not only inherits bulk of strongpoint of Bayesian Networks,its character of relation and concep t of object causes it can overcome manyaspects o f shortc omings and become ideal tool of mod eling complex system as well,is an importa nt innovation on Bayesian Networks.As a new type of Relational Models,Probab ilistic Relational Models is also an important in-novation on traditional Relat ional Models:Object Relational Models possessing probabilistic ch aracter is ab le to deal with uncertainty.The creation of Probab ilistic Relational Models is very important to development and re search complex intelligent system.This p aper first comments Ba yesian Networks and Object Relational Models,then introd uction Probabilistic Re lational Models on the basis of that.