Proceedings of the 1st International Conference on E-Business Intelligence (ICEBI 2010)

Conceding Strategy on Multi-agent Argumentation-based Negotiation in E-commerce

Authors
Ge Zhang, Lin Wu, Guo-Rui Jiang, Ti-Yun Huang
Corresponding Author
Ge Zhang
Available Online December 2010.
DOI
10.2991/icebi.2010.59How to use a DOI?
Keywords
multi-agent negotiation, argumentation-based negotiation, conceding strategy, negotiation strategy
Abstract

Argumentation-based approach to negotiation, which allows agents to exchange additional information or argue their beliefs and other mental attitudes during the negotiation, is gaining increasing popularity for its potential ability to overcome the limitations of conventional approaches. In this paper, a mechanism of how argument gives effect on the negotiation conceding strategy is analyzed. Furthermore, a time-constraintbased conceding strategy is proposed, considering the impact of argument. At last, experiment is designed to illustrate and verify the proposed strategy, and the result demonstrates that argument have the ability to improve the effectiveness of negotiation.

Copyright
© 2010, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 1st International Conference on E-Business Intelligence (ICEBI 2010)
Series
Advances in Intelligent Systems Research
Publication Date
December 2010
ISBN
978-90-78677-40-6
ISSN
1951-6851
DOI
10.2991/icebi.2010.59How to use a DOI?
Copyright
© 2010, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Ge Zhang
AU  - Lin Wu
AU  - Guo-Rui Jiang
AU  - Ti-Yun Huang
PY  - 2010/12
DA  - 2010/12
TI  - Conceding Strategy on Multi-agent Argumentation-based Negotiation in E-commerce
BT  - Proceedings of the 1st International Conference on E-Business Intelligence (ICEBI 2010)
PB  - Atlantis Press
SP  - 426
EP  - 432
SN  - 1951-6851
UR  - https://doi.org/10.2991/icebi.2010.59
DO  - 10.2991/icebi.2010.59
ID  - Zhang2010/12
ER  -