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
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;
Conference_Titel :
Tools with Artificial Intelligence (ICTAI), 2010 22nd IEEE International Conference on
Conference_Location :
Arras
Print_ISBN :
978-1-4244-8817-9
DOI :
10.1109/ICTAI.2010.77