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