DocumentCode
423849
Title
Simplifying computation of dynamic influence diagrams
Author
Yao, Hong-Liang ; Wang, Hao ; Zhang, You-Sheng ; Hu, Xue-Gang ; Fang, Bao-Fu
Author_Institution
Dept. of Comput. Sci. & Technol., Hefei Univ. of Technol., China
Volume
1
fYear
2004
fDate
26-29 Aug. 2004
Firstpage
59
Abstract
Influence diagrams (EDs) are based on Bayesian networks (BNs) and decision theory, and they are powerful tools for representing and processing problems of agents. An approach of decomposition and incorporation is developed to solve problems of multi-agent system based on influence diagrams and dynamic Bayesian networks (DBNs) that is intractable for exact calculation. In additional, we discuss realizing decision of dynamic influence diagrams (DIDs) and reducing computation of decision problems.
Keywords
belief networks; decision theory; multi-agent systems; Bayesian networks; decision theory; dynamic influence diagrams; multiagent system; Artificial intelligence; Bayesian methods; Cognitive science; Computer science; Decision theory; Electronic mail; Hidden Markov models; Intrusion detection; Multiagent systems; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN
0-7803-8403-2
Type
conf
DOI
10.1109/ICMLC.2004.1380605
Filename
1380605
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