loading...
Learning Opponent?s Eagerness with Bayesian Updating Rule in a Market-Driven Negotiation Model
Taipei, Taiwan March 25-March 30
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AINA.2005.23219th International Conference on Adva ...
 This Article 
 
PDF
HTML
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
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
Usage of this product signifies your acceptance of the Terms of Use.


Suggestions