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Research on emergent design based on neuro-evolution with modularity

Research Project

Project/Area Number 17H01795
Research Category

Grant-in-Aid for Scientific Research (B)

Allocation TypeSingle-year Grants
Section一般
Research Field Soft computing
Research InstitutionThe University of Tokyo

Principal Investigator

Iba Hitoshi  東京大学, 大学院情報理工学系研究科, 教授 (40302773)

Co-Investigator(Kenkyū-buntansha) 長谷川 禎彦  東京大学, 大学院情報理工学系研究科, 准教授 (20512354)
Project Period (FY) 2017-04-01 – 2020-03-31
Project Status Completed (Fiscal Year 2020)
Budget Amount *help
¥14,690,000 (Direct Cost: ¥11,300,000、Indirect Cost: ¥3,390,000)
Fiscal Year 2019: ¥5,200,000 (Direct Cost: ¥4,000,000、Indirect Cost: ¥1,200,000)
Fiscal Year 2018: ¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2017: ¥5,200,000 (Direct Cost: ¥4,000,000、Indirect Cost: ¥1,200,000)
Keywords進化計算 / 遺伝的アルゴリズム / 遺伝的プログラミング / ニューロ進化 / 深層学習 / 進化ロボティクス / 力学系解析 / 遺伝子ネットワーク / 動的システム / 創発デザイン / 動的適応系
Outline of Final Research Achievements

In this study, we verified the usefulness of modular neuro-evolution. As a verification method, we analyzed whether a hierarchical repetitive structure can be obtained for the results of evolution applied to various benchmark problems. The modularity is expected to enable the reuse of information and the development of new structures during the temporal evolution of neural structures. In this way, we attempted to solve the difficulties associated with the design of conventional artifacts (i.e., the inability to obtain an appropriate overall solution from partial solutions and the inability to adapt robustly to changes in the environment).

Academic Significance and Societal Importance of the Research Achievements

これまで神経回路網の進化と時間発展の考えを取り入れて構築されたモデルはほとんどない.さらにこの統一的な視点にたって人工物設計での実証研究を試みるものは極めて少ない.そのため,本研究は理論的基盤にたってニューロ進化の枠組みをロバストな設計に応用するという学術的な特色がある.本研究により,ニューロ進化による知能創発の有効性が,ハードウェアとソフトウェアの創発デザインを通して明らかになる.

Report

(4 results)
  • 2020 Final Research Report ( PDF )
  • 2019 Annual Research Report
  • 2018 Annual Research Report
  • 2017 Annual Research Report
  • Research Products

    (23 results)

All 2019 2018 2017 Other

All Journal Article (6 results) (of which Int'l Joint Research: 1 results,  Peer Reviewed: 6 results,  Open Access: 4 results) Presentation (11 results) (of which Int'l Joint Research: 7 results) Book (5 results) Remarks (1 results)

  • [Journal Article] Fluctuation Theorem Uncertainty Relation2019

    • Author(s)
      Yoshihiko Hasegawa, Tan Van Vu
    • Journal Title

      Physical Review Letters

      Volume: 123 Issue: 11 Pages: 110602-110602

    • DOI

      10.1103/physrevlett.123.110602

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Spurious Vanishing Problem in Approximate Vanishing Ideal2019

    • Author(s)
      Hiroshi Kera, Yoshihiko Hasegawa
    • Journal Title

      IEEE Access

      Volume: 7 Pages: 178961-178961

    • DOI

      10.1109/access.2019.2958648

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Topological Time-series Analysis with Delay-variant Embedding2019

    • Author(s)
      Quoc Hoan Tran and Yoshihiko Hasegawa
    • Journal Title

      Physical Review E

      Volume: 99 Issue: 3 Pages: 032209-032209

    • DOI

      10.1103/physreve.99.032209

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Thermodynamics of Collective Enhancement of Precision2018

    • Author(s)
      Yoshihiko Hasegawa
    • Journal Title

      Physical Review E

      Volume: 98 Pages: 032405-032405

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Multidimensional Biochemical Information Processing of Dynamical Patterns2018

    • Author(s)
      Yoshihiko Hasegawa
    • Journal Title

      Physical Review E

      Volume: 97 Pages: 022401-022401

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Multidimensional Biochemical Information Processing of Dynamical Patterns2018

    • Author(s)
      Yoshihiko Hasegawa
    • Journal Title

      Physical Review E

      Volume: 97 Issue: 2 Pages: 022401-022401

    • DOI

      10.1103/physreve.97.022401

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed / Open Access
  • [Presentation] Evolving Humanoid Robot Motions Based on Gene Regulatory Network2019

    • Author(s)
      Naoyuki Kawabata, Hitoshi Iba
    • Organizer
      4th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2019
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Musical Composition by Interactive Evolutionary Computation and Latent Space Modeling2018

    • Author(s)
      Naotake Masuda, Hitoshi Ib
    • Organizer
      IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018, Miyazaki, Japan, October 7-10, 2018
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] GP-RVM: Genetic Programing-Based Symbolic Regression Using Relevance Vector Machine2018

    • Author(s)
      Hossein Izadi Rad, Ji Feng, Hitoshi Iba
    • Organizer
      IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018, Miyazaki, Japan, October 7-10, 2018
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Dangerous objects detection of x-ray images using convolution neural network2018

    • Author(s)
      Lekang Zou, Tanaka Yusuke and Iba Hitoshi
    • Organizer
      SICBS 2018 : 2nd International Conference on Security with Intelligent Computing and Big-data Services
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Swarm Intelligence for Object Retrieval Applying Cooperative Transportation in Unknown Environments2018

    • Author(s)
      Landaez, Ysmaldo Dohi, Hiroshi Iba, Hitoshi
    • Organizer
      ICRAI 2018: the 4th International Conference on Robotics and Artificial Intelligence
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Approximate Vanishing Ideal via Data Knotting2018

    • Author(s)
      Kera,H. and Hasegawa,Y.
    • Organizer
      Te Thirty-Second AAAI Conference on Artificial Intelligence (AAAI 2018)
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Coevolution of mapping functions for linear SVM2017

    • Author(s)
      Satish Kumar Jaiswal, Hitoshi Iba:
    • Organizer
      2017 IEEE Congress on Evolutionary Computation (CEC2017)
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] パラメトリック遺伝的プログラミング2017

    • Author(s)
      堀場貴裕,伊庭斉志
    • Organizer
      進化計算シンポジウム2017
    • Related Report
      2017 Annual Research Report
  • [Presentation] 遺伝的アルゴリズムを用いた誤判定音声合成2017

    • Author(s)
      楊奕,伊庭斉志
    • Organizer
      進化計算シンポジウム2017
    • Related Report
      2017 Annual Research Report
  • [Presentation] 動的環境最適化におけるAffinity Propagationを用いた粒子群最適化2017

    • Author(s)
      鈴木一弘,伊庭斉志
    • Organizer
      進化計算シンポジウム2017
    • Related Report
      2017 Annual Research Report
  • [Presentation] 進化計算を用いた時間依存型確率的化学反応の推定2017

    • Author(s)
      海内映吾,伊庭斉志
    • Organizer
      進化計算シンポジウム2017
    • Related Report
      2017 Annual Research Report
  • [Book] AI and Swarm: Evolutionary approach to emergent intelligence2019

    • Author(s)
      Hitoshi Iba
    • Total Pages
      262
    • Publisher
      CRC Press
    • ISBN
      0367136317
    • Related Report
      2019 Annual Research Report
  • [Book] 深層学習とメタヒューリスティクス2019

    • Author(s)
      伊庭 斉志
    • Total Pages
      264
    • Publisher
      オーム社
    • ISBN
      4274224465
    • Related Report
      2019 Annual Research Report
  • [Book] Evolutionary Approach to Machine Learning and Deep Neural Networks: Neuro-Evolution and Gene Regulatory Networks2018

    • Author(s)
      Hitoshi Iba
    • Total Pages
      245
    • Publisher
      Springer
    • ISBN
      9789811301995
    • Related Report
      2018 Annual Research Report
  • [Book] ゲームAIと深層学習2018

    • Author(s)
      伊庭 斉志
    • Total Pages
      224
    • Publisher
      株式会社オーム社
    • ISBN
      4274222527
    • Related Report
      2018 Annual Research Report
  • [Book] 人工知能の創発2017

    • Author(s)
      伊庭斉志
    • Total Pages
      240
    • Publisher
      株式会社オーム社
    • ISBN
      4274220648
    • Related Report
      2017 Annual Research Report
  • [Remarks] 伊庭研究室

    • URL

      http://www.iba.k.u-tokyo.ac.jp/

    • Related Report
      2017 Annual Research Report

URL: 

Published: 2017-04-28   Modified: 2022-01-27  

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