DocumentCode
1938278
Title
Notice of Retraction
What evolutionary game theory tells us about the formation mechanism of innovation networks
Author
Jiang Tong-ming ; Bai Su-xia
Author_Institution
Sch. of Econ. & Manage., Beijing Univ. of Technol., Beijing, China
Volume
8
fYear
2010
fDate
9-11 July 2010
Firstpage
71
Lastpage
75
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Based on the evolutionary game theory, this paper mainly analyzes the formation of innovation networks, and discovers the formation rule of innovation networks, then finds the key factors which affect the formation of innovation networks. The result shows that evolutionary game promotes the formation of innovation networks. One of the key factors which affect the formation of innovation networks is the ability of absorbing and transforming the innovation knowledge, and another is the environment of networks. Consequently, this paper offers valuable help for the key innovation agents including enterprises, universities or research institutes, intermediary organizations and government agencies to improve innovation efficiency.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Based on the evolutionary game theory, this paper mainly analyzes the formation of innovation networks, and discovers the formation rule of innovation networks, then finds the key factors which affect the formation of innovation networks. The result shows that evolutionary game promotes the formation of innovation networks. One of the key factors which affect the formation of innovation networks is the ability of absorbing and transforming the innovation knowledge, and another is the environment of networks. Consequently, this paper offers valuable help for the key innovation agents including enterprises, universities or research institutes, intermediary organizations and government agencies to improve innovation efficiency.
Keywords
evolutionary computation; game theory; innovation management; multi-agent systems; evolutionary theory; formation mechanism; game theory; innovation knowledge; innovation network; rule discovery; Artificial neural networks; Economics; Evolutionary game; Formation mechanism; Innovation networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5537-9
Type
conf
DOI
10.1109/ICCSIT.2010.5563990
Filename
5563990
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