Stochastic Timed Influence Nets An Extension of Timed Influence Nets with Uncertain Delay

摘要：

The existing Timed Influence Nets (TIN) framework is assumed that delays on arcs are constant. This constraint may turn out to be unrealistic in many real world situations. The proposed parametric enhancements would overcome the above limitation, and enable a system modeler to specify stochastic delay in a dynamic uncertain situation that the existing TIN fails to capture. The new class of models is named Stochastic Timed Influence Nets (STIN). Both TIN and STIN provide an easy-to-read and compact representation to several time-based probabilistic reasoning paradigms.

关键词： timed influence nets stochastic timed influence nets stochastic delay stochastic belief sequence probability propagation algorithm

作者: Zhu Yan-guang Lei Yong-lin

作者单位: School of Information System & Management NUDT Changsha, Hunan, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 634-638

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）