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

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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

Organization

Group A01
A design theory of high-average systems made possible by constructive understanding of heterogeneous swarm intelligence

Members

Project Leader
Takeshi Kano (School of Systems Information Science, Future University Hakodate)
Co-Project Leader
Yuichiro Sueoka (Graduate School of Engineering, Osaka University)
Project Assistant Professor
Daiki Wakita (2022.7-2024.3: Research Institute of Electrical Communication, Tohoku University)

Research Outline

In this study, we propose a heterogeneous swarm intelligence system in which individuals with various characteristics can find optimal internal states and roles to play in a fluctuating environment while creating order and performing high-average functions adaptively.

Group A02
Muscle cell swarm intelligence: Understanding the phase-transition dynamics of muscle remodeling during insect metamorphosis

Members

Project Leader
Daiki Umetsu (Graduate School of Science, Osaka University)

Research Outline

Group A02 aims to understand the process of tissue formation from the perspective of swarm intelligence emerging from cells. Using muscle remodeling during metamorphosis in Drosophila as a model system, we focus on a novel biological phenomenon in which old muscle fibers are disassembled and then reassembled to form new muscle fibers.

Group A03
Swarm intelligence of newborn neurons: Understanding behaviors and control rules that determine the efficiency of brain regeneration

Members

Project Leader
Naoko Kaneko (Graduate School of Brain Science, Doshisha University)
Co-Researcher
Yuriko Sobu (Graduate School of Brain Science, Doshisha University)

Research Outline

This study aims to analyze the behavior of newborn neurons, which have been recorded by live imaging, using a mathematical model with a high degree of abstraction; search for the movement control mechanism as a group and analyze its basic molecular mechanism; and clarify the swarm intelligence movement control mechanism in which newborn neurons contribute to the repair of precise brain functions as a "swarm."

Area advisor

Prof. Hiraku Nishimori(Meiji University)
Prof. Dario Floreano (EPFL, Switzerland)

Collaborators

Dr. Tsuyoshi Hirashima (Kyoto University)
Dr. Munehiro Asally (University of Warwick)