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2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'06)
Market-Based Distributed Task Selection in Multi-agent Swarms
Hong Kong, China
December 18-December 22
ISBN: 0-7695-2748-5
ASCII Text
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Prithviraj Dasgupta, Matthew Hoeing, "Market-Based Distributed Task Selection in Multi-agent Swarms," Intelligent Agent Technology, IEEE / WIC / ACM International Conference on, pp. 113-116, 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'06), 2006.
 
 
BibTex
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@article{ 10.1109/IAT.2006.87,
author = {Prithviraj Dasgupta and Matthew Hoeing},
title = {Market-Based Distributed Task Selection in Multi-agent Swarms},
journal ={Intelligent Agent Technology, IEEE / WIC / ACM International Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2748-5},
pages = {113-116},
doi = {http://doi.ieeecomputersociety.org/10.1109/IAT.2006.87},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Intelligent Agent Technology, IEEE / WIC / ACM International Conference on
TI - Market-Based Distributed Task Selection in Multi-agent Swarms
SN - 0-7695-2748-5
SP113
EP116
A1 - Prithviraj Dasgupta,
A1 - Matthew Hoeing,
PY - 2006
KW - null
VL - 0
JA - Intelligent Agent Technology, IEEE / WIC / ACM International Conference on
ER -
 
Prithviraj Dasgupta, University of Nebraska, USA
Matthew Hoeing, University of Nebraska, USA
We consider the problem of distributed task allocation across swarm units comprising a swarm-based system. We model task allocation as a dynamic pricing problem within a market setup. Experimental results within a simulated environment for a distributed automatic target recognition application show that the market-based task selection mechanism compares favorably with other heuristic-based task selection strategies.
Citation:
Prithviraj Dasgupta, Matthew Hoeing, "Market-Based Distributed Task Selection in Multi-agent Swarms," iat, pp.113-116, 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'06), 2006
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