DocumentCode
3277047
Title
Identification of an agent interaction network
Author
Kiriakidis, K.
Author_Institution
Dept. of Syst. Eng., United States Naval Acad., Annapolis, MD, USA
fYear
2010
fDate
June 30 2010-July 2 2010
Firstpage
4076
Lastpage
4077
Abstract
Knowledge of some particular fact, subject, or event is conveyed among disparate agents affecting their respective activities and, in turn, the generation of new information. The author´s main objective is to reconstruct the flow of information in the form of a weighted digraph, based on data that reflect agent activities. Embarking from the principles of maximum entropy, the author casts the digraph identification in the Bayesian estimation framework.
Keywords
Bayes methods; directed graphs; maximum entropy methods; Bayesian estimation; agent interaction network; digraph identification; maximum entropy; weighted digraph; Bayesian methods; Biological interactions; Entropy; Noise level; Solids; State estimation; Systems engineering and theory; Uncertainty; Working environment noise;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference (ACC), 2010
Conference_Location
Baltimore, MD
ISSN
0743-1619
Print_ISBN
978-1-4244-7426-4
Type
conf
DOI
10.1109/ACC.2010.5530529
Filename
5530529
Link To Document