DocumentCode :
3261348
Title :
Simulating Information Transmission Mechanisms on a Network through Particle Swarm Optimization
Author :
Takahashi, Toru ; Yamada, Takashi ; Terano, Takao
Author_Institution :
Dept. of Comput. Intell. & Syst. Sci., Tokyo Inst. of Technol., Yokohama, Japan
fYear :
2009
fDate :
20-24 July 2009
Firstpage :
292
Lastpage :
293
Abstract :
This paper proposes an information transmission model through Particle Swarm Optimization (PSO). This model enables us to manage the complexity of information topic. We consider the factors of PSO as the three aspects of the information transmission: 1) the structure of network, 2) the value of information, and 3) the character of agents. Our main findings are 1) the relation between topics and the information network, 2) how the character of agent affects, and 3) the characters of agents based on his degree.
Keywords :
evolutionary computation; multi-agent systems; particle swarm optimisation; agent-based simulation; artificial intelligence; evolutionary optimization algorithms; human factors; information network; information transmission; information transmission mechanisms; information transmission model; particle swarm optimization; Analytical models; Artificial intelligence; Computational intelligence; Computational modeling; Equations; Human factors; IP networks; Information analysis; Particle swarm optimization; Social network services; Artificial intelligence; Human factors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applications and the Internet, 2009. SAINT '09. Ninth Annual International Symposium on
Conference_Location :
Bellevue, WA
Print_ISBN :
978-1-4244-4776-3
Electronic_ISBN :
978-0-7695-3700-9
Type :
conf
DOI :
10.1109/SAINT.2009.70
Filename :
5230768
Link To Document :
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