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Article: A computational model for multi-agent E-commerce negotiations with adaptive negotiation behaviors

TitleA computational model for multi-agent E-commerce negotiations with adaptive negotiation behaviors
Authors
KeywordsCase-Based Reasoning
E-Commerce
Negotiation
Neural Network
Software Agent
Issue Date2013
Citation
Journal Of Computational Science, 2013, v. 4 n. 3, p. 135-143 How to Cite?
AbstractThis paper presents a computational model to organize multi-agent E-commerce negotiations with adaptive negotiation behaviors aiming at enhancing the negotiation flexibilities of software agents. Firstly, the computational E-commerce negotiation model covering negotiation protocol, negotiation issues and negotiation strategies is specified to assist agents' computing functions. Then, a three-staged adaptive negotiation behavior configuration mechanism is proposed to tackle the negotiation dynamics. In the pre-negotiation stage, agents' negotiation behaviors are deployed by the case-based strategy assignment mechanism; in the on-going negotiation stage, opponents' negotiation behaviors are tracked through the neural network learning model; in the post-negotiation stage, opponents' concession functions are recorded using the time series measure. Finally, the computational negotiation model is tested through hypothetical negotiation cases. The outcomes show that the adaptive negotiation behavior configuration mechanism can benefit an agent to win more in the E-commerce negotiation. © 2011 Elsevier B.V. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/177628
ISSN
2015 Impact Factor: 1.078
2015 SCImago Journal Rankings: 0.587
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorWang, Gen_US
dc.contributor.authorWong, TNen_US
dc.contributor.authorYu, Cen_US
dc.date.accessioned2012-12-19T09:38:26Z-
dc.date.available2012-12-19T09:38:26Z-
dc.date.issued2013en_US
dc.identifier.citationJournal Of Computational Science, 2013, v. 4 n. 3, p. 135-143en_US
dc.identifier.issn1877-7503en_US
dc.identifier.urihttp://hdl.handle.net/10722/177628-
dc.description.abstractThis paper presents a computational model to organize multi-agent E-commerce negotiations with adaptive negotiation behaviors aiming at enhancing the negotiation flexibilities of software agents. Firstly, the computational E-commerce negotiation model covering negotiation protocol, negotiation issues and negotiation strategies is specified to assist agents' computing functions. Then, a three-staged adaptive negotiation behavior configuration mechanism is proposed to tackle the negotiation dynamics. In the pre-negotiation stage, agents' negotiation behaviors are deployed by the case-based strategy assignment mechanism; in the on-going negotiation stage, opponents' negotiation behaviors are tracked through the neural network learning model; in the post-negotiation stage, opponents' concession functions are recorded using the time series measure. Finally, the computational negotiation model is tested through hypothetical negotiation cases. The outcomes show that the adaptive negotiation behavior configuration mechanism can benefit an agent to win more in the E-commerce negotiation. © 2011 Elsevier B.V. All rights reserved.en_US
dc.languageengen_US
dc.relation.ispartofJournal of Computational Scienceen_US
dc.subjectCase-Based Reasoningen_US
dc.subjectE-Commerceen_US
dc.subjectNegotiationen_US
dc.subjectNeural Networken_US
dc.subjectSoftware Agenten_US
dc.titleA computational model for multi-agent E-commerce negotiations with adaptive negotiation behaviorsen_US
dc.typeArticleen_US
dc.identifier.emailWong, TN: tnwong@hku.hken_US
dc.identifier.authorityWong, TN=rp00192en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1016/j.jocs.2011.10.003en_US
dc.identifier.scopuseid_2-s2.0-84875842340en_US
dc.identifier.hkuros221509-
dc.identifier.isiWOS:000327164700003-
dc.identifier.scopusauthoridWang, G=36618061900en_US
dc.identifier.scopusauthoridWong, TN=55301015400en_US
dc.identifier.scopusauthoridYu, C=41662510600en_US

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