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19th International Conference on Advanced Information Networking and Applications (AINA'05) Volume 1 (AINA papers)
Learning Opponent?s Eagerness with Bayesian Updating Rule in a Market-Driven Negotiation Model
Taipei, Taiwan
March 25-March 30
ISBN: 0-7695-2249-1
ASCII Text
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Yoshizo Ishihara, Runhe Huang, Kwang Mong Sim, "Learning Opponent?s Eagerness with Bayesian Updating Rule in a Market-Driven Negotiation Model," Advanced Information Networking and Applications, International Conference on, vol. 1, pp. 903-908, 19th International Conference on Advanced Information Networking and Applications (AINA'05) Volume 1 (AINA papers), 2005.
 
 
BibTex
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@article{ 10.1109/AINA.2005.232,
author = {Yoshizo Ishihara and Runhe Huang and Kwang Mong Sim},
title = {Learning Opponent?s Eagerness with Bayesian Updating Rule in a Market-Driven Negotiation Model},
journal ={Advanced Information Networking and Applications, International Conference on},
volume = {1},
year = {2005},
issn = {1550-445X},
pages = {903-908},
doi = {http://doi.ieeecomputersociety.org/10.1109/AINA.2005.232},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Advanced Information Networking and Applications, International Conference on
TI - Learning Opponent?s Eagerness with Bayesian Updating Rule in a Market-Driven Negotiation Model
SN - 1550-445X
SP903
EP908
A1 - Yoshizo Ishihara,
A1 - Runhe Huang,
A1 - Kwang Mong Sim,
PY - 2005
KW - null
VL - 1
JA - Advanced Information Networking and Applications, International Conference on
ER -
 
Yoshizo Ishihara, Hosei University
Runhe Huang, Hosei University
Kwang Mong Sim, Academia Sinica
Sim proposed a market-driven negotiation model [1] for designing negotiation agents. Although agent itself eagerness was taken into consideration as a fixed value in Sim?s proposed model, opponent's eagerness was not considered. This paper proposes an improved market-driven negotiation model in which Bayesian updating rule is applied to learn opponent's eagerness since opponent's eagerness is unknown to an agent and may vary with dynamic changing market situation.
Citation:
Yoshizo Ishihara, Runhe Huang, Kwang Mong Sim, "Learning Opponent?s Eagerness with Bayesian Updating Rule in a Market-Driven Negotiation Model," aina, vol. 1, pp.903-908, 19th International Conference on Advanced Information Networking and Applications (AINA'05) Volume 1 (AINA papers), 2005
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