DocumentCode
596780
Title
The affection of noise strategy in the naming game
Author
Jiabo Hao ; Guangping Chen ; Guolin Pu ; Zhiyuan Zhang ; Jiang Luo
Author_Institution
Dept. of Phys. & Eng. Technol., Sichuan Univ. of Arts & Sci., Dazhou, China
fYear
2012
fDate
18-20 Oct. 2012
Firstpage
1185
Lastpage
1188
Abstract
After investigating the naming game on noise networks, which are constructed as scale-free networks presented by Barabási-Albert (BA). A noise parameter strategy, which governs the frequency of high-degree agents acting as speakers in communication, is introduced. It is found that the agreement time is a non-monotonic function with the noise parameter and there exists an optimal value of the noise parameter which results in the shortest agreement time on naming an object for both scale-free naming games. This phenomenon shows that, although a strong influence of high-degree agents favors agreements achievement, very strong influences inhibit the constringency process, making it even slower than in the absence of influence of high-degree agents. Another phenomenon is that the convergence speed is related to the total memory. These conclusions are beneficial to understand the dynamics of the naming game with noise parameter strategy.
Keywords
complex networks; game theory; multi-agent systems; network theory (graphs); social sciences; agreement time; constringency process; high-degree agent frequency; noise networks; noise parameter strategy; nonmonotonic function; scale-free naming games; scale-free networks; Barium; Complex networks; Convergence; Educational institutions; Evolution (biology); Games; Noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computational Intelligence (ICACI), 2012 IEEE Fifth International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4673-1743-6
Type
conf
DOI
10.1109/ICACI.2012.6463363
Filename
6463363
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