DocumentCode :
2539258
Title :
Modeling with Influence Networks using influence constants: A new approach
Author :
Zaidi, Abbas K. ; Mansoor, Faisal ; Papantoni-Kazakos, P.
Author_Institution :
George Mason Univ., Fairfax
fYear :
2007
fDate :
7-10 Oct. 2007
Firstpage :
547
Lastpage :
552
Abstract :
Complex decision problems present numerous modeling and analysis challenges. A number of approaches have been devised in an effort to meet these challenges; one of them is Influence Networks. In this paper, we present a new comprehensive approach to the formalism of Influence Networks that eliminates previously existing inconsistencies and incorporates temporal issues as well. We also use the approach to evaluate a specific decision problem.
Keywords :
decision theory; dynamic programming; evolutionary computation; decision problem; dynamic programming evolution; influence constants; influence networks; temporal issues; Availability; Bayesian methods; Feedback; Helium; Humans; Logic; Random variables; Tin; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on
Conference_Location :
Montreal, Que.
Print_ISBN :
978-1-4244-0990-7
Electronic_ISBN :
978-1-4244-0991-4
Type :
conf
DOI :
10.1109/ICSMC.2007.4413601
Filename :
4413601
Link To Document :
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