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