DocumentCode :
1894058
Title :
Research on science and technology awards evaluation system based on multi-agent
Author :
Zeng Hui ; Chen Xiao
Author_Institution :
Sch. of Inf. Eng., East China Jiaotong Univ., Nanchang, China
Volume :
1
fYear :
2012
fDate :
23-25 March 2012
Firstpage :
11
Lastpage :
15
Abstract :
Science and technology awards evaluation is an important part of government´s work, the fairness, reasonableness and accuracy of the result have a direct impact on science and technology awards´ results. To ensure the justice and reasonable plays an important social function in science and technology awards´ work. With the development of artificial intelligence, Agent and Multi-Agent technology have become more sophisticated, its unique mechanism of self-learning and self-inference has been used in a number of transactions and got a good application. This paper discusses the science and technology awards evaluation system based on Multi-Agent technology.
Keywords :
inference mechanisms; learning (artificial intelligence); multi-agent systems; technology; artificial intelligence; multiagent technology; science-technology awards evaluation system; science-technology awards work; selfinference mechanism; selflearning mechanism; social function; Artificial intelligence; Awards activities; Computational modeling; Data mining; Databases; Educational institutions; Technological innovation; Multi-Agent; science & technology awards evaluation; system architecture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-0689-8
Type :
conf
DOI :
10.1109/ICCSEE.2012.62
Filename :
6187816
Link To Document :
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