Grant-in-Aid for Transformative Research Areas (B) (2021-2023)

Heterogeneous Swarm Intelligence

Heterogeneous swarm intelligence: Innovative design of swarm intelligence inspired by collective behavior

Contact
JP EN

Grant-in-Aid for Transformative
Research Areas (B) (2021-2023)

Heterogeneous Swarm Intelligence

Heterogeneous swarm intelligence: Innovative design of swarm intelligence inspired by collective behavior

Contact
JP EN

Research Outline

GREETING

領域代表  加納 剛史

Takeshi Kano

Research Institute of Electrical Communication, Tohoku University

Principle of expression of intelligent behavior exhibited by heterogeneous cell populations for engineering and medical applications

“Swarms” of living organisms behave intelligently as if the entire group were a single individual with a will. This behavior is emergently generated by local interactions among the components of the swarm (hereinafter referred to as "autonomous individuals") and is referred to as “swarm intelligence.” This study aims to elucidate the design principles of heterogeneous swarm intelligence systems, in which autonomous individuals with various characteristics find appropriate roles in a fluctuating environment, create order, and continue to demonstrate high functionality.

In this area, we focus particularly on moving swarms of cells. Several tissues in living organisms are composed of various cells, and even if we focus only on a group of cells of the same type, the properties of each cell are heterogeneous owing to fluctuations in gene expression. A single cell has a very limited computational capacity, but by appropriately changing its internal state and role while interacting with individual cells with different properties, it can adapt to a fluctuating environment and exhibit superior functions as a whole.

We aim to clarify the expression principle of the intelligent behavior of this swarm of cells by combining high-precision real data analysis using biological methods and a constructivist approach using mathematical modeling. Furthermore, we would like to apply the extracted control principles to the development of swarm robots and regenerative medicine by artificially manipulating cellular swarms to demonstrate their versatility and applicability.

PROJECT OUTLINE

Group A01 Project Leader Takeshi Kano (Research Institute of Electrical Communication, Tohoku University)
Co-Project Leader Yuichiro Sueoka (Graduate School of Engineering, Osaka University)
Theme A design theory of high-average systems made possible by constructive understanding of heterogeneous swarm intelligence
Group A02 Project Leader Daiki Umetsu (Graduate School of Life Sciences, Tohoku University)
Theme Muscle cell swarm intelligence: Understanding the phase-transition dynamics of muscle remodeling during insect metamorphosis
Group A03 Project Leader Naoko Kaneko (Graduate School of Brain Science, Doshisha University)
Theme Swarm intelligence of newborn neurons: Understanding behaviors and control rules that determine the efficiency of brain regeneration
Group A01
Project Leader Takeshi Kano (Research Institute of Electrical Communication, Tohoku University)
Co-Project Leader Yuichiro Sueoka (Graduate School of Engineering, Osaka University)
Theme A design theory of high-average systems made possible by constructive understanding of heterogeneous swarm intelligence
Group A02
Project Leader Daiki Umetsu (Graduate School of Life Sciences, Tohoku University)
Theme Muscle cell swarm intelligence: Understanding the phase-transition dynamics of muscle remodeling during insect metamorphosis
Group A03
Project Leader Naoko Kaneko (Graduate School of Brain Science, Doshisha University)
Theme Swarm intelligence of newborn neurons: Understanding behaviors and control rules that determine the efficiency of brain regeneration