Title :
Identification of an agent interaction network
Author_Institution :
Dept. of Syst. Eng., United States Naval Acad., Annapolis, MD, USA
fDate :
June 30 2010-July 2 2010
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;
Conference_Titel :
American Control Conference (ACC), 2010
Conference_Location :
Baltimore, MD
Print_ISBN :
978-1-4244-7426-4
DOI :
10.1109/ACC.2010.5530529
