DocumentCode :
1901551
Title :
Research of the Strategy in Multi-Issue Negotiations Deadlock
Author :
Zhang Chao Yang ; Shen Yang ; Zhou Qing Lei ; Zhao Yi Lin ; Wang Zhen Fei
Author_Institution :
Sch. of Inf. Eng., Zhengzhou Univ., Zhengzhou, China
fYear :
2010
fDate :
25-26 Dec. 2010
Firstpage :
1
Lastpage :
4
Abstract :
To solve the problem of deadlock occurred in multi-issue negotiation, an optimization strategy is presented in this paper, which uses a learning method to estimate opponents´ preferences of their negotiation issue, and gives full consideration to the issue dependencies. Considering the weighted value of the opponent, we adjust the reserved value of some issues accordingly, by which we can achieve the purpose of solving the deadlock problem quickly and efficiently, and the negotiation participants can get a reasonable solution at the same time. Experimental results prove the efficiency of the whole negotiation process.
Keywords :
learning (artificial intelligence); optimisation; learning method; multi-issue negotiation deadlock; negotiation process; optimization strategy; Learning systems; Nickel; Optimization; Proposals; Sorting; System recovery;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
Conference_Location :
Wuhan
ISSN :
2156-7379
Print_ISBN :
978-1-4244-7939-9
Electronic_ISBN :
2156-7379
Type :
conf
DOI :
10.1109/ICIECS.2010.5678371
Filename :
5678371
Link To Document :
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