Abstract
In this paper we propose a negotiation agent system based on the incremental learning in order to increase the efficiency of bilateral negotiations and to improve the applicability toward multilateral negotiations. For the proposed system, we also introduce a framework for multilateral negotiations in an e-marketplace in which the components can dynamically join and disjoin. In order to evaluate the performance of the proposed system, the bilateral negotiation systems based on the trade-off mechanisms have been implemented, and we have extended the systems so that they can perform multilateral negotiations. The experimental results show that the proposed system achieves better agreements than others except for the system under the ideal assumptions that one party knows the personal negotiation information of the other party. Furthermore, the system proposed in our paper carries out negotiations at least twice faster than other negotiation systems implemented in this paper.
| Original language | English |
|---|---|
| Title of host publication | 2006 SICE-ICASE International Joint Conference |
| Pages | 6001-6006 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2006 Dec 1 |
| Event | 2006 SICE-ICASE International Joint Conference - Busan, Korea, Republic of Duration: 2006 Oct 18 → 2006 Oct 21 |
Other
| Other | 2006 SICE-ICASE International Joint Conference |
|---|---|
| Country | Korea, Republic of |
| City | Busan |
| Period | 06/10/18 → 06/10/21 |
All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Control and Systems Engineering
- Electrical and Electronic Engineering
Cite this
}
An automated system based on incremental learning with applicability toward multilateral negotiations. / Park, Sanghyun; Yang, Sung Bong.
2006 SICE-ICASE International Joint Conference. 2006. p. 6001-6006 4108653.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - An automated system based on incremental learning with applicability toward multilateral negotiations
AU - Park, Sanghyun
AU - Yang, Sung Bong
PY - 2006/12/1
Y1 - 2006/12/1
N2 - In this paper we propose a negotiation agent system based on the incremental learning in order to increase the efficiency of bilateral negotiations and to improve the applicability toward multilateral negotiations. For the proposed system, we also introduce a framework for multilateral negotiations in an e-marketplace in which the components can dynamically join and disjoin. In order to evaluate the performance of the proposed system, the bilateral negotiation systems based on the trade-off mechanisms have been implemented, and we have extended the systems so that they can perform multilateral negotiations. The experimental results show that the proposed system achieves better agreements than others except for the system under the ideal assumptions that one party knows the personal negotiation information of the other party. Furthermore, the system proposed in our paper carries out negotiations at least twice faster than other negotiation systems implemented in this paper.
AB - In this paper we propose a negotiation agent system based on the incremental learning in order to increase the efficiency of bilateral negotiations and to improve the applicability toward multilateral negotiations. For the proposed system, we also introduce a framework for multilateral negotiations in an e-marketplace in which the components can dynamically join and disjoin. In order to evaluate the performance of the proposed system, the bilateral negotiation systems based on the trade-off mechanisms have been implemented, and we have extended the systems so that they can perform multilateral negotiations. The experimental results show that the proposed system achieves better agreements than others except for the system under the ideal assumptions that one party knows the personal negotiation information of the other party. Furthermore, the system proposed in our paper carries out negotiations at least twice faster than other negotiation systems implemented in this paper.
UR - http://www.scopus.com/inward/record.url?scp=34250756571&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34250756571&partnerID=8YFLogxK
U2 - 10.1109/SICE.2006.315845
DO - 10.1109/SICE.2006.315845
M3 - Conference contribution
AN - SCOPUS:34250756571
SN - 8995003855
SN - 9788995003855
SP - 6001
EP - 6006
BT - 2006 SICE-ICASE International Joint Conference
ER -