Market-based distributed task selection in multi-agent swarms

Prithviraj Dasgupta, Matthew Hoeing

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

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.

Original languageEnglish (US)
Title of host publicationProceedings - 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2006 Main Conference Proceedings), IAT'06
PublisherIEEE Computer Society
Pages113-116
Number of pages4
ISBN (Print)9780769527482
DOIs
StatePublished - 2006
Event2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT'06 - Hong Kong, China
Duration: Dec 18 2006Dec 22 2006

Publication series

NameProceedings - 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2006 Main Conference Proceedings), IAT'06

Conference

Conference2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT'06
CountryChina
CityHong Kong
Period12/18/0612/22/06

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software

Fingerprint Dive into the research topics of 'Market-based distributed task selection in multi-agent swarms'. Together they form a unique fingerprint.

  • Cite this

    Dasgupta, P., & Hoeing, M. (2006). Market-based distributed task selection in multi-agent swarms. In Proceedings - 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2006 Main Conference Proceedings), IAT'06 (pp. 113-116). [4052906] (Proceedings - 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2006 Main Conference Proceedings), IAT'06). IEEE Computer Society. https://doi.org/10.1109/IAT.2006.87