JSAI2019

Presentation information

General Session

General Session » [GS] J-1 Fundamental AI, theory

[4A3-J-1] Fundamental AI, theory: bio-inspired models of intelligence

Fri. Jun 7, 2019 2:00 PM - 3:40 PM Room A (2F Main hall A)

Chair:Takuma Otsuka Reviewer:Junpei Komihyama

2:40 PM - 3:00 PM

[4A3-J-1-03] Community Information Propagation Model using Percolation Theory

〇Yuki Ando1, Hitoshi Hirata1, Ikuko Eguchi Yairi1 (1. Sophia University)

Keywords:percolation theory, information propagation, human community

In recent years, with the spread of the Internet and smart phones, the method of information propagation has diversified. This is probably because not only the method of acquiring information increases but also people who did not have a method of transmitting information so far can easily transmit information. There are few models that can mimic this diversified information propagation, and examples in which the prediction is out of the way with the conventional method are starting to be seen. In this paper, we propose a new model applying percolation theory as an information propagation model applicable to modern complex society. In addition, we show the significance by extending the model and measuring its effect. This model It is possible to show information propagation in a more realistic environment by adding parameters.