Potential game-theoretic analysis of a market-based decentralized task allocation algorithm

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dc.contributor.authorChoi, Han-Limko
dc.contributor.authorKim, Keumseongko
dc.contributor.authorJohnson, Luke Bko
dc.contributor.authorHow, Jonathan Pko
dc.date.accessioned2023-09-25T08:00:56Z-
dc.date.available2023-09-25T08:00:56Z-
dc.date.created2023-09-25-
dc.date.issued2014-11-
dc.identifier.citation12th International Symposium on Distributed Autonomous Robotic Systems, DARS 2014, pp.207 - 220-
dc.identifier.issn1610-7438-
dc.identifier.urihttp://hdl.handle.net/10203/312918-
dc.description.abstractThis paper presents a potential game-theoretic interpretation and analysis of a decentralized task allocation algorithm, consensus-based bundled algorithm, which was developed by the authors’ prior work. It is, in particular, proved that the consensus-based bundle algorithm converges to a pure strategy Nash equilibrium of some distributed welfare game, and the price of anarchy and the price of stability of this equilibrium are 1/2 and 1, respectively.-
dc.languageEnglish-
dc.publisherSpringer Verlag-
dc.titlePotential game-theoretic analysis of a market-based decentralized task allocation algorithm-
dc.typeConference-
dc.identifier.wosid000375913700015-
dc.identifier.scopusid2-s2.0-84956629684-
dc.type.rimsCONF-
dc.citation.beginningpage207-
dc.citation.endingpage220-
dc.citation.publicationname12th International Symposium on Distributed Autonomous Robotic Systems, DARS 2014-
dc.identifier.conferencecountryKO-
dc.identifier.conferencelocationDaejeon-
dc.identifier.doi10.1007/978-4-431-55879-8_15-
dc.contributor.localauthorChoi, Han-Lim-
dc.contributor.nonIdAuthorJohnson, Luke B-
dc.contributor.nonIdAuthorHow, Jonathan P-
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AE-Conference Papers(학술회의논문)
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