Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/72306
Title: Constructing Bayesian network in a changing world
Authors: Xiang, Y. 
Poh, K.-L. 
Issue Date: 2005
Source: Xiang, Y.,Poh, K.-L. (2005). Constructing Bayesian network in a changing world. AAAI Spring Symposium - Technical Report SS-05-02 : 108-113. ScholarBank@NUS Repository.
Abstract: Although the process of decision-making has been investigated for centuries, only in the last few decades have investigators systematically addressed how decisions are made in a dynamic, real-world environment One of the most daunting challenges faced by decision support systems is a perpetual change in their environment. Existing decision support methodologies, tools, and frameworks are often difficult to scale up and adapt to changing knowledge. In this paper, a framework that constructs a decision model from knowledge base according to the changes in environment is presented. The generated Bayesian network can be changed as the situation evolves. This paper describes the knowledge representation and model construction process. Bayesian networks combination method is also discussed in details. Copyright © 2005, American Association for Artificial Intelligence (www.aaai.org). All rights reserved.
Source Title: AAAI Spring Symposium - Technical Report
URI: http://scholarbank.nus.edu.sg/handle/10635/72306
Appears in Collections:Staff Publications

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