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Multi-agent multi-issue negotiations with incomplete information: a genetic algorithm based on discrete surrogate approach

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dc.contributor.author Kattan, Ahmed
dc.contributor.author Yew-Soon, Ong
dc.contributor.author Galván-López, Edgar
dc.date.accessioned 2013-08-09T08:15:41Z
dc.date.available 2013-08-09T08:15:41Z
dc.date.issued 2013
dc.identifier.uri http://hdl.handle.net/10344/3296
dc.description peer-reviewed en_US
dc.description.abstract In this paper we present a negotiation agent based on Genetic Algorithm (GA) and Surrogate Modelling for a multi-player multi-issue negotiation model under incomplete information scenarios to solve a resource-allocation problem. We consider a multi-lateral negotiation protocol by which agents make offers sequentially in consecutive rounds until the deadline is reached. Agents’ offers represent suggestions about how to divide the available resources among all agents participating in the negotiation. Each agent may “Accept” or “Reject” the offers made by its opponents through selecting the “Accept” or “Reject” option. The GA is used to explore the space of offers and surrogates used to model the behaviours of individual opponent agents for enhanced genetic evolution of offers that is agreeable upon all agents. The GA population comprises of solution individuals that are formulated as matrices where a specialised three different search operators that take the matrix representation into considerations are considered. Experimental studies of the proposed negotiation agent under different scenarios demonstrated that the negotiations by the agents completed in agreement before the deadline is reached, while at the same time, maximising profits. en_US
dc.language.iso eng en_US
dc.publisher IEEE Computer Society en_US
dc.relation.ispartofseries Congress on Evolutionary Computation;pp. 2556-2563
dc.relation.uri http://dx.doi.org/10.1109/CEC.2013.6557877
dc.rights “© 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.” en_US
dc.subject computational modelling en_US
dc.subject equations en_US
dc.subject genetic algorithms en_US
dc.subject mathemtical model en_US
dc.title Multi-agent multi-issue negotiations with incomplete information: a genetic algorithm based on discrete surrogate approach en_US
dc.type info:eu-repo/semantics/conferenceObject en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.contributor.sponsor SFI en_US
dc.relation.projectid 10/IN.1/I2980 en_US
dc.relation.projectid 10/CE/I1855 en_US
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US


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