第1389回生物科学セミナー
Collective Intelligence in Living/non-living agents
池上 高志 博士（東京大学大学院 総合文化研究科 広域科学専攻広域システム科学系基礎システム学講座・教授）
2021年12月21日(火) 16:00-17:30 Zoomによるweb講義
In this study, we propose a new theory of collective intelligence by using machine learning algorithms to study the dynamics of biological and non-living populations and their collective phenomena. The goal is to construct a new theory of emergent phenomena in population dynamics, including macroscopic emergent phenomena called superorganisms, by analyzing a large amount of individual tracking data obtained from actual biological experiments. The ultimate goal is to discuss the relationship between macroscopic properties such as aging and vitality at the population level and the complex microscopic dynamics of the constituent individuals. Specifically, I will report on population phenomena in simulations of large scale swarms, as well as in biological populations such as honeybees, amphipods, and tetrahymena.
cf. Takashi Ikegami, Yoh-ichi Mototake, Shintaro Kobori, Mizuki Oka, Yasuhiro Hashimoto: Life as an emergent phenomenon: studies from a large-scale boid simulation and web data,
Phil.Roy.Soc.,375, pp.1-15, 2017.
Norihiro Maruyama, Daichi Saito, and Takashi Ikegami. Emergence of Superorganisms in a Large Scale Boids Model. 2019 IEEE Symposium Series on Computational Intelligence (SSCI), pp.299-305
Daichi Saito, Norihiro Maruyama, Takashi Ikegami and Yasuhiro Hashimoto. Visualization of Dynamic Structure in Flocking Behavior. Artificial Life and Robotics volume 25, pages544–551 (2020)
学外で参加希望のかたは、infokuroda-lab@bs.s.u-tokyo.ac.jpまでメールをいただければ、ZoomのURLを送付いたします。所属機関のメールアドレスでお願いいたします。個人のメールアドレスはお控えください。その際には、氏名と所属も合わせてお願いいたします。
担当： 東京大学大学院理学系研究科・生物科学専攻・ 黒田研究室
