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Using neural networks for early detection of unsuccessful negotiation threads

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dc.contributor.author Roussaki, I en
dc.contributor.author Papaioannou, I en
dc.contributor.author Anagnostou, M en
dc.date.accessioned 2014-03-01T01:37:31Z
dc.date.available 2014-03-01T01:37:31Z
dc.date.issued 2011 en
dc.identifier.issn 0218-2130 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/21537
dc.subject Automated negotiations en
dc.subject Early detection of unsuccessful negotiations en
dc.subject MLP & GR neural networks en
dc.subject NN-assisted negotiation strategies en
dc.subject Opponent behaviour prediction en
dc.subject.classification Computer Science, Artificial Intelligence en
dc.subject.classification Computer Science, Interdisciplinary Applications en
dc.subject.other Automated negotiations en
dc.subject.other Early detection en
dc.subject.other Negotiation strategy en
dc.subject.other NN-assisted negotiation strategies en
dc.subject.other Opponent behaviour prediction en
dc.subject.other Research fields en
dc.subject.other Resource utilizations en
dc.subject.other Profitability en
dc.subject.other Neural networks en
dc.title Using neural networks for early detection of unsuccessful negotiation threads en
heal.type journalArticle en
heal.identifier.primary 10.1142/S0218213011000231 en
heal.identifier.secondary http://dx.doi.org/10.1142/S0218213011000231 en
heal.language English en
heal.publicationDate 2011 en
heal.abstract Building agents that negotiate on behalf of their owners aiming to maximise their utility is a quite challenging research field in the artificial intelligence domain. In this paper, such agents are enhanced with techniques based on neural networks (NNs) to predict their opponents' negotiation behaviour, thus achieving more profitable results and better resource utilization. The NNs are used to early detect the cases where agreements are not achievable, supporting the decision of the agents to withdraw or not from the negotiation threads. The designed NN-assisted negotiation strategies have been evaluated via extensive experiments and are proven to be very useful. © 2011 World Scientific Publishing Company. en
heal.publisher WORLD SCIENTIFIC PUBL CO PTE LTD en
heal.journalName International Journal on Artificial Intelligence Tools en
dc.identifier.doi 10.1142/S0218213011000231 en
dc.identifier.isi ISI:000291824500003 en
dc.identifier.volume 20 en
dc.identifier.issue 3 en
dc.identifier.spage 457 en
dc.identifier.epage 487 en


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