DocumentCode :
2307998
Title :
Co-competition game analysis of mobile communication market after company restructuring
Author :
Liu, Ke-fei ; Zha, Ran
Author_Institution :
Sch. of Manage., Hebei Univ. of Technol., Tianjin, China
Volume :
2
fYear :
2012
fDate :
15-17 July 2012
Firstpage :
654
Lastpage :
659
Abstract :
Artificial Intelligence, as a sub-discipline of computer science, has developed very quickly. In the current era of Mobile Internet, with the continuous development of the intelligent terminal, Artificial Intelligence has already been a powerful driving force of telecommunications industry. Game theory as a very important branch of Artificial Intelligence which could help in evaluating telecommunication companies after restructuring. This paper analyses three oligarchs co-competition in China mobile market by modified Cournot and Strackelbery Models in Game theory, applying with business development data of 2G and 3G for verification. According to the verification and more oligarchs´ co-competition game analyzing in the future, the conclusion is: on the basis of competition, the best choice for each oligarch is cooperation. Co-competing of the telecom operators can effectively configure all aspects of resources to produce more intelligent terminals, making the promotion of Telecommunication industry progress, to some extent, can promote the development of Artificial Intelligence in mobile internet era.
Keywords :
Internet; artificial intelligence; game theory; mobile communication; telecommunication industry; China mobile market; Cournot model; Strackelbery model; artificial intelligence; co-competition game analysis; company restructuring; computer science; game theory; intelligent terminal; mobile Internet; mobile communication market; telecommunication industry; Games; Artificial Intelligence; Co-competition; Game Analysis; Mobile Communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2012 International Conference on
Conference_Location :
Xian
ISSN :
2160-133X
Print_ISBN :
978-1-4673-1484-8
Type :
conf
DOI :
10.1109/ICMLC.2012.6359002
Filename :
6359002
Link To Document :
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