File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1016/j.jocs.2011.10.003
- Scopus: eid_2-s2.0-84875842340
- WOS: WOS:000327164700003
- Find via
Supplementary
- Citations:
- Appears in Collections:
Article: A computational model for multi-agent E-commerce negotiations with adaptive negotiation behaviors
Title | A computational model for multi-agent E-commerce negotiations with adaptive negotiation behaviors |
---|---|
Authors | |
Keywords | Case-Based Reasoning E-Commerce Negotiation Neural Network Software Agent |
Issue Date | 2013 |
Citation | Journal Of Computational Science, 2013, v. 4 n. 3, p. 135-143 How to Cite? |
Abstract | This 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 Identifier | http://hdl.handle.net/10722/177628 |
ISSN | 2023 Impact Factor: 3.1 2023 SCImago Journal Rankings: 0.670 |
ISI Accession Number ID |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Wang, G | en_US |
dc.contributor.author | Wong, TN | en_US |
dc.contributor.author | Yu, C | en_US |
dc.date.accessioned | 2012-12-19T09:38:26Z | - |
dc.date.available | 2012-12-19T09:38:26Z | - |
dc.date.issued | 2013 | en_US |
dc.identifier.citation | Journal Of Computational Science, 2013, v. 4 n. 3, p. 135-143 | en_US |
dc.identifier.issn | 1877-7503 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/177628 | - |
dc.description.abstract | This 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.language | eng | en_US |
dc.relation.ispartof | Journal of Computational Science | en_US |
dc.subject | Case-Based Reasoning | en_US |
dc.subject | E-Commerce | en_US |
dc.subject | Negotiation | en_US |
dc.subject | Neural Network | en_US |
dc.subject | Software Agent | en_US |
dc.title | A computational model for multi-agent E-commerce negotiations with adaptive negotiation behaviors | en_US |
dc.type | Article | en_US |
dc.identifier.email | Wong, TN: tnwong@hku.hk | en_US |
dc.identifier.authority | Wong, TN=rp00192 | en_US |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.doi | 10.1016/j.jocs.2011.10.003 | en_US |
dc.identifier.scopus | eid_2-s2.0-84875842340 | en_US |
dc.identifier.hkuros | 221509 | - |
dc.identifier.isi | WOS:000327164700003 | - |
dc.identifier.scopusauthorid | Wang, G=36618061900 | en_US |
dc.identifier.scopusauthorid | Wong, TN=55301015400 | en_US |
dc.identifier.scopusauthorid | Yu, C=41662510600 | en_US |
dc.identifier.issnl | 1877-7503 | - |