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A02 Cyber TeamA02-3 Team FUJII

Theme- 3 藤井班 Team FUJII

Technologies for rule/learning-based analysis and determination of intervention policies in hierarchical bio-navigation

In this research, we will develop methods for (1) rule and learning-based analysis and (2) determination of intervention strategies for hierarchical navigation research. In study (1), we will develop analysis methods fused with rule- and learning-based models to elucidate the behavioral diagrams of individual interactions of humans, crabs, dragonflies, and other animals, in cooperation with the A02 Cyber Team. In addition, data measurement and model verification will be conducted together with the A01 Physical Team. Then, we will explore new hypotheses and behavioral patterns based on behavioral data mining. In study (2), causal inference from the data and verification of the intervention effects will be conducted with Team Maekawa of A02-2 and the A01 Physical Team. Through reinforcement learning, in which the reward is set to the desired behavior, we will explore automatic selection methods for intervention strategies. Simultaneously, we will collaboratively work with the Cyber and Physical teams on the development of the wearable/environmental χlogbot to implement the above methods. This is expected to automate the experimental cycle and lead to verification and elucidation, even for behavioral diagrams with a large number of parameters.

Researchers A02-3 藤井班 研究者

  • Principal Investigator Keisuke Fujii Keisuke Fujii

    Graduate School of Informatics, Nagoya University Associate Professor

    Research field
    Data-driven science for multi-agant motions
    Research keywords
    Multi-agent motion, Machine learning, Sports, Human behavior, Artificial intelligence
    Laboratory
    https://sites.google.com/view/keisuke1986en/

  • Co-Investigator Yasuo Tabei Yasuo Tabei

    RIKEN Center for Advanced Intelligence Project Unit leader

    Research field
    Data compression, machine learning
    Research keywords
    Succinct data structure, machine learning
    Laboratory
    https://www.tabei-lab.org/

  • Co-Investigator Hisashi Murakami Hisashi Murakami

    Faculty of Information and Human Science, Kyoto Institute of Technology Assistant Professor

    Research field
    ethology, cognitive science, complex systems science
    Research keywords
    collective behavior, self-organization, navigation, mutual anticipation, attention
    Laboratory
    https://sites.google.com/view/hisashimurakamien/home

  • Co-Investigator Nozomi Nishiumi Nozomi Nishiumi

    National Institute for Basic Biology, National Institutes of Natural Sciences Researcher

    Research field
    Animal behavior
    Research keywords
    Strategies in predators and prey, Animals' navigation for target pursuit and threat avoidance, Interactive experiment system using virtual animals
    Laboratory
    https://researchmap.jp/Nozomi-Nishiumi?lang=en

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