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
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;
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
DOI :
10.1109/ICMLC.2004.1380605
