A tool for belief updating over time in Bayesian networks

Jie Yang, Chilukuri K. Mohan, Kishan G. Mehrotra, Pramod K. Varshney

Research output: Contribution to journalConference article

Abstract

We have developed a tool that facilitates dynamically updating beliefs with time. This tool addresses directed probabilistic inference networks that may contain cycles, and takes into account the time delays associated with observations and decisions. Relevance of different observers may decay at different rates in the same application, and the belief in a hypothesis decays towards the associated prior probability. Simple models with few parameters have been implemented, with a user interface that facilitates changes to the structure and parameters of the graphical model, and associated conditional probabilities.

Original languageEnglish (US)
Pages (from-to)284-292
Number of pages9
JournalProceedings of the International Conference on Tools with Artificial Intelligence
StatePublished - 2002
Event14th International Conference on Tools with Artificial Intelligence - Washington, DC, United States
Duration: Jun 4 2002Nov 6 2002

ASJC Scopus subject areas

  • Software

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