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Egri-Nagy Attila  EGRINAGY Attila

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EGRINAGY Attila  エグリナギ アティラ

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Researcher Number 90781188
Other IDs
Affiliation (Current) 2025: 国際教養大学, 国際教養学部, 教授
Affiliation (based on the past Project Information) *help 2022 – 2023: 国際教養大学, 国際教養学部, 教授
Review Section/Research Field
Principal Investigator
Basic Section 01010:Philosophy and ethics-related
Keywords
Principal Investigator
epistemology / deep learning / scientific method / data mining / game of Go / philosophy of science / machine learning / scientific explanation / artificial intelligence
  • Research Projects

    (1 results)
  • Research Products

    (8 results)
  •  On progressing human understanding in the shadow of superhuman deep learning artificial intelligence entitiesPrincipal Investigator

    • Principal Investigator
      EGRINAGY Attila
    • Project Period (FY)
      2022 – 2024
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 01010:Philosophy and ethics-related
    • Research Institution
      Akita International University

All 2024 2023 2022

All Journal Article Presentation

  • [Journal Article] Channeling the Flow - A Metaphor for Computer Programs2024

    • Author(s)
      Egri-Nagy Attila
    • Journal Title

      Qeios (preprint server)

      Volume: March 7 Pages: 1-6

    • DOI

      10.32388/vu0zg0

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K00015
  • [Journal Article] The cost of passing - using deep learning AIs to expand our understanding of the ancient game of Go2023

    • Author(s)
      Attila Egri-Nagy, Antti Tormanen
    • Journal Title

      International Journal of Networking and Computing

      Volume: 13 Issue: 2 Pages: 258-272

    • DOI

      10.15803/ijnc.13.2_258

    • ISSN
      2185-2839, 2185-2847
    • Language
      English
    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K00015
  • [Journal Article] The cost of passing - using deep learning AIs to expand our understanding of the ancient game of Go2022

    • Author(s)
      Egri-Nagy Attila, Tormanen Antti
    • Journal Title

      2022 Tenth International Symposium on Computing and Networking (CANDAR)

      Volume: 10 Pages: 1-5

    • DOI

      10.1109/candar57322.2022.00019

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K00015
  • [Presentation] Channeling the Flow - A Metaphor for Computer Programs2024

    • Author(s)
      Attila Egri-Nagy
    • Organizer
      The 2nd Akita Philosophy Seminar
    • Data Source
      KAKENHI-PROJECT-22K00015
  • [Presentation] On Constructing Finite Automata by Relational Programming2023

    • Author(s)
      Attila Egri-Nagy, Chrystopher L. Nehaniv
    • Organizer
      VIth The Applied Mathematics, Modeling and Computational Science (AMMCS), Waterloo, Canada
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K00015
  • [Presentation] Algebraic Structure and Complexity of Games2023

    • Author(s)
      Attila Egri-Nagy, Thomas Gao, Chrystopher L. Nehaniv
    • Organizer
      VIth The Applied Mathematics, Modeling and Computational Science (AMMCS), Waterloo, Canada
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K00015
  • [Presentation] AI, games, and the problem of scientific realism2023

    • Author(s)
      Attila Egri-Nagy
    • Organizer
      14th INTERNATIONAL WORKSHOPKSHOP ON NATURAL COMPUTING at TOHOKU UNIVERSITY, SENDAI, JAPAN
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K00015
  • [Presentation] The cost of passing - using deep learning AIs to expand our understanding of the ancient game of Go2022

    • Author(s)
      Attila Egri-Nagy
    • Organizer
      2022 Tenth International Symposium on Computing and Networking (CANDAR)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K00015

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