期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2013
卷号：52
期号：1
出版社：Journal of Theoretical and Applied
摘要：As a core framework in artificial intelligence, standard graphical models generally assume that every state of a variable node has effect on other nodes by propagating beliefs to them. However, in many real world problems concerning undirected relationships, it is common that certain state of an object cannot possibly change other objects' states. Besides, an object only remains in this state when no effect on it successfully changes it. This paper defines it as passive state, and presents a framework - Partial Dependent Graphical Models (PDGM) for representing undirected relationships involving these states. Through a static undirected structure with a varying directed edge system, it analytically captures the behavior of variables having passive states. An inference method is developed for reasoning in the model. Experiments and examples are provided to show the effectiveness of PDGM.
