loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2008 International Symposium on Electronic Commerce and Security
An Opponent's Negotiation Behavior Model to Facilitate Buyer-seller Negotiations in Supply Chain Management
August 03-August 05
ISBN: 978-0-7695-3258-5
ASCII Text
x 
 
Fang Fang, Ye Xin, Xia Yun, Xu Haitao, "An Opponent's Negotiation Behavior Model to Facilitate Buyer-seller Negotiations in Supply Chain Management," Electronic Commerce and Security, International Symposium, pp. 582-587, 2008 International Symposium on Electronic Commerce and Security, 2008.
 
 
BibTex
x
 
@article{ 10.1109/ISECS.2008.93,
author = {Fang Fang and Ye Xin and Xia Yun and Xu Haitao},
title = {An Opponent's Negotiation Behavior Model to Facilitate Buyer-seller Negotiations in Supply Chain Management},
journal ={Electronic Commerce and Security, International Symposium},
volume = {0},
year = {2008},
isbn = {978-0-7695-3258-5},
pages = {582-587},
doi = {http://doi.ieeecomputersociety.org/10.1109/ISECS.2008.93},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Electronic Commerce and Security, International Symposium
TI - An Opponent's Negotiation Behavior Model to Facilitate Buyer-seller Negotiations in Supply Chain Management
SN - 978-0-7695-3258-5
SP582
EP587
A1 - Fang Fang,
A1 - Ye Xin,
A1 - Xia Yun,
A1 - Xu Haitao,
PY - 2008
KW - Supply Chain Management
KW - Buyer-seller Negotiation
KW - Opponent's Behavior Model (OpNBM)
KW - Artificial Neural Network
VL - 0
JA - Electronic Commerce and Security, International Symposium
ER -
 
Buyer-seller negotiation is an interactive process so that the outcome is not only determined by an agent’s own tactics but also influenced by his opponent’s choices. Therefore, retrieving the knowledge of the opponent to simulate the opponent’s possible actions can increase the payoffs. An ANN_based Opponent’s negotiation behavior model (OpNBM) is proposed. It consists of two basic negotiation behaviors: Bid_Evaluation simulates the negotiator’s utility function, and Bid_Generation simulates the concession strategy. Furthermore, by observing the changes of the opponent during the actual bargaining process, the agent keeps adjusting the OpNBM with increase of the negotiation rounds. Several experiments have shown that the OpNBM can help agents to better prepare for the negotiation and achieve a better outcome.
Index Terms:
Supply Chain Management, Buyer-seller Negotiation, Opponent's Behavior Model (OpNBM), Artificial Neural Network
Citation:
Fang Fang, Ye Xin, Xia Yun, Xu Haitao, "An Opponent's Negotiation Behavior Model to Facilitate Buyer-seller Negotiations in Supply Chain Management," isecs, pp.582-587, 2008 International Symposium on Electronic Commerce and Security, 2008
Usage of this product signifies your acceptance of the Terms of Use.