Please use this identifier to cite or link to this item:
|Title:||Constructing Bayesian network in a changing world|
|Authors:||Xiang, Y. |
|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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 16, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.