Grid-Enabled Bayesian Network

Challenges to Decision Support in a Changing World

Volume

Papers from the 2005 AAAI Spring Symposium

Contents

Bayesian network has been a successful tool in the decision support systems. In the changing world, the decision making demands adaptive Bayesian methods that are composed of Bayesian inferential and learning approaches. To achieve this goal, we propose a kind of grid-enabled Bayesian networks that intend to gridify Bayesian inferential and learning methods when the advanced grid computing techniques are integrated. Most of our effort is put into the discussion of grid-enabled learning methods and grid-enabled inferential methods as well as their challenging work on the integration. It is argued that grid-enabled Bayesian networks are able to utilize all available resources to support the adaptive decision making in the changing world.