A Sampling-Based Bayesian Approach for Cooperative Multiagent Online Search With Resource Constraints

This paper presents a cooperative multiagent search algorithm to solve the problem of searching for a target on a 2-D plane under multiple constraints. A Bayesian framework is used to update the local probability density functions (PDFs) of the target when the agents obtain observation information....

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Veröffentlicht in:	IEEE transactions on cybernetics Jg. 48; H. 6; S. 1773 - 1785
Hauptverfasser:	Xiao, Hu, Cui, Rongxin, Xu, Demin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.06.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Bayes methods Bayesian analysis Bayesian update Computer simulation Cybernetics Decision making Mobile communication multiagent search Multiagent systems Optimization Parameter estimation particle sampling Probabilistic models Probability density function Probability density functions resource constraints (RCs) Sampling Search algorithms Search problems
ISSN:	2168-2267, 2168-2275, 2168-2275
Online-Zugang:	Volltext
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