Agent swarm regression network ASRN

A multi-agent system (MAS), with independent software agents interacting with each other to achieve common goals will complete concurrent distributed tasks under autonomous control. In this paper, novel RBF regression network ''agent swarm regression network ASRN" is proposed and trai...

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Bibliographic Details
Published in2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583) Vol. 6; pp. 5609 - 5614 vol.6
Main Authors CHOW, Chi-Kin, TSUI, Hung-Tat
Format Conference Proceeding
LanguageEnglish
Published Piscataway NJ IEEE 2004
Subjects
Applied sciences
Communication system control
Computer science; control theory; systems
Control systems
Control theory. Systems
Exact sciences and technology
Interpolation
Laboratories
Low earth orbit satellites
Multiagent systems
Neurons
Radial basis function networks
Signal processing
Support vector machines
Radial basis function
Swarm
Multiagent system
Software architecture
Concurrent task
Distributed control
Artificial intelligence
Train
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Summary:A multi-agent system (MAS), with independent software agents interacting with each other to achieve common goals will complete concurrent distributed tasks under autonomous control. In this paper, novel RBF regression network ''agent swarm regression network ASRN" is proposed and trained by a MAS. Each neuron of the ASRN is considered as an agent, which consists of per-defined simple agent behavior set. After a sufficient number of iterations, the weights of neurons can be determined. Two sets of experiment are examined to observe the effectiveness of the proposed method.
ISBN:0780385667
9780780385665
ISSN:1062-922X
2577-1655
DOI:10.1109/ICSMC.2004.1401087