DocumentCode
1713989
Title
An Adaptive Prediction-Regret Driven Strategy for Bilateral Bargaining
Author
Ji, Shu-Juan ; Leung, Ho-fung
Author_Institution
Coll. of Inf. Sci. & Eng., Shandong Univ. of Sci. & Technol., Qingdao, China
Volume
2
fYear
2010
Firstpage
11
Lastpage
14
Abstract
This paper presents an adaptive prediction-regret driven negotiation strategy for bilateral bargaining without modeling opponents, which combines the prediction idea in heuristic method and the regret principle in psychology. Experimental results show that agents that employ this strategy outperform agents that use other strategies previously proposed in the literature.
Keywords
multi-agent systems; negotiation support systems; adaptive prediction-regret driven negotiation strategy; adaptive prediction-regret driven strategy; bilateral bargaining; heuristic method; modeling opponents; psychology; regret principle; Adaptation model; Artificial neural networks; Bayesian methods; Markov processes; Prediction methods; Training; bargain; experimental analysis; heuristic method; negotiation strategy; prediction; regret;
fLanguage
English
Publisher
ieee
Conference_Titel
Tools with Artificial Intelligence (ICTAI), 2010 22nd IEEE International Conference on
Conference_Location
Arras
ISSN
1082-3409
Print_ISBN
978-1-4244-8817-9
Type
conf
DOI
10.1109/ICTAI.2010.77
Filename
5671438
Link To Document