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dc.contributor.authorPippin, Charles, E.en_US
dc.contributor.authorChristensen, Henrik I.en_US
dc.date.accessioned2013-02-14T20:48:27Z
dc.date.available2013-02-14T20:48:27Z
dc.date.issued2012-03
dc.identifier.citationPippin, C., and Christensen, H., “Incentive based cooperation in multi-agent auctions,” AAAI Spring Symposium (Mar. 2012)en_US
dc.identifier.urihttp://hdl.handle.net/1853/46197
dc.description© 2011 Association for the Advancement of Artificial Intelligenceen_US
dc.descriptionPresented at AAAI Spring Symposium, March 26–28, 2012 in Palo Alto, California.en_US
dc.description.abstractMarket or auction based algorithms offer effective methods for de-centralized task assignment in multi-agent teams. Typically there is an implicit assumption that agents are willing to cooperate and can be trusted to perform assigned tasks. Reciprocal collaboration may not always be a valid assumption. In cases where auctions are used for task allocation, without explicit revenue exchange, incentives are needed to enforce cooperation. An approach to incentive based trust is presented, which enables detection of team members that are not contributing and for dynamic formation of teams.en_US
dc.language.isoen_USen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.subjectIncentive based cooperationen_US
dc.subjectMulti agent systemsen_US
dc.subjectAuction based algorithmsen_US
dc.subjectMarket-based task allocationen_US
dc.titleIncentive based cooperation in multi-agent auctionsen_US
dc.typeProceedingsen_US
dc.typePost-printen_US
dc.contributor.corporatenameGeorgia Tech Research Instituteen_US
dc.contributor.corporatenameGeorgia Institute of Technology. College of Computingen_US
dc.contributor.corporatenameGeorgia Institute of Technology. Center for Robotics and Intelligent Machinesen_US
dc.publisher.originalAssociation for the Advancement of Artificial Intelligenceen_US


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