DocumentCode :
2213265
Title :
Distributed on-line Bayesian search
Author :
Garcia, Alfredo ; Campos, Enrique ; Li, Chenyang
Author_Institution :
Virginia Univ., VA
fYear :
0
fDate :
0-0 0
Abstract :
In this paper, we outline the basis for a new distributed Bayesian search scheme in which all Bayesian decision makers recognize the same performance objective but do not possess the ability to communicate with each other. Coordination among the players is achieved indirectly by tracking search performance. This scheme is ideal for unmanned vehicles searching in extreme environments where extensive bilateral communication between actuators is not feasible. Preliminary results suggest our new search scheme is scalable and can easily be adapted for tracking moving targets
Keywords :
Bayes methods; belief networks; search problems; Bayesian decision makers; distributed on-line Bayesian search; moving target tracking; search performance; Actuators; Bayesian methods; Convergence; Probes; Sampling methods; Scalability; Statistical distributions; System performance; Target tracking; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Collaborative Computing: Networking, Applications and Worksharing, 2005 International Conference on
Conference_Location :
San Jose, CA
Print_ISBN :
1-4244-0030-9
Type :
conf
DOI :
10.1109/COLCOM.2005.1651263
Filename :
1651263
Link To Document :
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