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
Link To Document :
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