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二次学習に基づく心的表象の進化的理論とその検討

Research Project

Project/Area Number 13J10032
Research Category

Grant-in-Aid for JSPS Fellows

Allocation TypeSingle-year Grants
Section国内
Research Field Cognitive science
Research InstitutionNagoya University

Principal Investigator

アーノード ソービフルヒャ (2014)  名古屋大学, 情報科学研究科, 特別研究員(PD)

アーノード リービフルヒャ (2013)  名古屋大学, 情報科学研究科, 特別研究員(DC2)

Project Period (FY) 2013-04-01 – 2015-03-31
Project Status Completed (Fiscal Year 2014)
Budget Amount *help
¥1,800,000 (Direct Cost: ¥1,800,000)
Fiscal Year 2014: ¥900,000 (Direct Cost: ¥900,000)
Fiscal Year 2013: ¥900,000 (Direct Cost: ¥900,000)
Keywordsmental representation / artificial intelligence / cognitive evolution / neural network / machine learning / second order learning / meta-learning / social cognition / 心的表象 / 知能の進化 / 機械学習 / ニューラル・ネットワーク / 二次学習 / 進化と学習の相互作用
Outline of Annual Research Achievements

In this research we investigated a fundamental question about the origins of cognition: How did representational cognition evolve? The project consisted of theoretical work (formulation and refinement of the central hypothesis) and computational verification (w.r.t. spatial cognition and social cognition). At the heart of this research project is a hypothesis that representational cognition evolves under selection for 2nd order learning ability (i.e. the ability to "learn to learn"). Applied to the topic of social cognition, this implies that evolution social abilities that qualify as 2nd order learning will produce forms of social cognition that operate by forming representations of other individuals’ minds ("Theory of Mind"). We investigated this idea by letting a simple form of social cognition evolve in a population of AI systems (neural networks).
Results of computational work: 1) We showed that in simulation, evolution under selection for 2nd order learning ability leads to a representational form of social cognition, whereas evolution under selection for 1st order learning ability does not. This result supports the hypothesis that representational cognition is a product of evolutionary selection for second order learning ability. 2) In doing so, we showed how representational cognition can be evolved in neural networks. This technique could prove applicable in e.g. social robotics.
Results of theoretical work: A theoretical paper detailing the theory (illustrated with our computational work) was completed and published in Minds and Machines journal.

Research Progress Status

26年度が最終年度であるため、記入しない。

Strategy for Future Research Activity

26年度が最終年度であるため、記入しない。

Report

(2 results)
  • 2014 Annual Research Report
  • 2013 Annual Research Report
  • Research Products

    (6 results)

All 2015 2014 2013

All Journal Article (3 results) (of which Peer Reviewed: 3 results,  Open Access: 1 results,  Acknowledgement Compliant: 1 results) Presentation (3 results)

  • [Journal Article] Selection for representation in higher-order adaptation2015

    • Author(s)
      Solvi Arnold, Reiji Suzuki, Takaya Arita
    • Journal Title

      Minds and Machines

      Volume: 25 Issue: 1 Pages: 73-95

    • DOI

      10.1007/s11023-015-9360-3

    • Related Report
      2014 Annual Research Report
    • Peer Reviewed / Open Access / Acknowledgement Compliant
  • [Journal Article] Why artificial intelligence cannot be creative without being intelligent2014

    • Author(s)
      Solvi Arnold
    • Journal Title

      Nagoya Journal of Philosophy

      Volume: 11 Pages: 62-77

    • Related Report
      2013 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Selection for Reinforcement-free Learning Ability as an Organizing Factor in the Evolution of Cognition2013

    • Author(s)
      Solvi Arnold, Reiji Suzuki, Takaya Arita
    • Journal Title

      Advances in Artificial Intellige

      Volume: 2013 Pages: 1-13

    • DOI

      10.1155/2013/841646

    • Related Report
      2013 Annual Research Report
    • Peer Reviewed
  • [Presentation] Using Second Order Learning to Evolve Social Representation (Theory of Mind)2014

    • Author(s)
      Solvi Arnold
    • Organizer
      The 8th International Conference on Bio-inspired Information and Communications Technologies
    • Place of Presentation
      Boston, USA
    • Year and Date
      2014-12-01
    • Related Report
      2014 Annual Research Report
  • [Presentation] Evolution of Social Representation in Neural Networks2013

    • Author(s)
      Solvi Arnold
    • Organizer
      the 12th European Conference on Artificial Life
    • Place of Presentation
      Taomlhla, イタリア
    • Year and Date
      2013-09-05
    • Related Report
      2013 Annual Research Report
  • [Presentation] Evolution of Social Representation in Neural Networks2013

    • Author(s)
      Solvi Arnold
    • Organizer
      2013年度人工知能学会全国大会(第27回)
    • Place of Presentation
      富山市、日本
    • Year and Date
      2013-06-06
    • Related Report
      2013 Annual Research Report

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Published: 2014-01-29   Modified: 2024-03-26  

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