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Statistical modeling of learning strategies in social situations: Exploring the outer edges of cognitive plasticity

Research Project

Project/Area Number 17K18718
Research Category

Grant-in-Aid for Challenging Research (Exploratory)

Allocation TypeMulti-year Fund
Research Field Psychology and related fields
Research InstitutionThe Institute of Statistical Mathematics

Principal Investigator

Kawamori Ai  統計数理研究所, リスク解析戦略研究センター, 外来研究員 (50648467)

Project Period (FY) 2018-04-01 – 2022-03-31
Project Status Completed (Fiscal Year 2021)
Budget Amount *help
¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
Fiscal Year 2019: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2018: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2017: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Keywords認知モデル / 状態空間モデル / ニワトリ雛 / 採餌行動 / 競争採餌 / 動物行動 / 統計モデル / ヒヨコ / 集団採餌 / 最適採餌理論 / 認知計算モデル / 意思決定プロセスモデル / 採餌戦略 / 最適採餌 / 採餌探索学習モデル / 認知科学 / 動物行動学
Outline of Final Research Achievements

In this study, we developed a statistical model based on state-space modeling techniques to explain the foraging behavior data of chicks. We attempted to explore the internal cognitive mechanisms of the animals by comparing multiple cognitive models and comparing their fits to the behavior. As a result, we were able to show the direction of the computational process by which chicks express their behavior, and the differences in the fit of the cognitive models among individuals suggested that behavioral strategies differ among individuals. Next, we examined behavioral and cognitive changes under competitive foraging conditions, and found that chicks may switch roles between leader and follower while foraging. This will be a guideline for future modeling.

Academic Significance and Societal Importance of the Research Achievements

言語を持たない動物が何を考えて行動を決定するのか,その生々しい思考過程を知ることは容易ではない.しかし,思考の産物である行動を説明することによって,ある程度窺い知ることはできる.時系列解析の統計技術を用いることによって,行動の裏に隠れた認知を炙り出すことは可能であると考えられるが,そのような行動解析の問題意識を持って適用された研究はこれまでほとんどなかった.本研究が開発した手法によって,社会性も含めた高次行動の認知研究への道筋が開かれたと考える.

Report

(5 results)
  • 2021 Annual Research Report   Final Research Report ( PDF )
  • 2020 Research-status Report
  • 2019 Research-status Report
  • 2018 Research-status Report
  • Research Products

    (6 results)

All 2022 2021 2020

All Journal Article (1 results) (of which Int'l Joint Research: 1 results,  Peer Reviewed: 1 results) Presentation (5 results)

  • [Journal Article] Construction of Roman roads toward Neuroeconomics2021

    • Author(s)
      Toshiya Matsushima, Ai Kawamori and Yukiko Ogura
    • Journal Title

      Behavioral and Brain Sciences

      Volume: - Pages: 20-22

    • DOI

      10.1017/s0140525x21000303

    • Related Report
      2020 Research-status Report
    • Peer Reviewed / Int'l Joint Research
  • [Presentation] 数理モデルから乖離するヒヨコー統計モデルから探る脳内計算機構ー2022

    • Author(s)
      川森愛
    • Organizer
      「生物と数理生物:似ているようで異なる生物へのアプローチ」研究集会
    • Related Report
      2021 Annual Research Report
  • [Presentation] 観測不可能なプロセスを推定する:便利な統計モデリングー状態空間モデルー2021

    • Author(s)
      川森愛
    • Organizer
      新学術領域「超適応」ポジティブ感情分科会
    • Related Report
      2021 Annual Research Report
  • [Presentation] ニワトリ雛の採餌行動解析―理論最適解から乖離する理由を探す―2021

    • Author(s)
      川森愛,小倉有紀子,藤川雄基,松島俊也
    • Organizer
      「予測モデリングの理論と応用」シンポジウム
    • Related Report
      2021 Annual Research Report
  • [Presentation] 最適採餌理論と行動の乖離:認知プロセス解明のための確率的意思決定モデル2021

    • Author(s)
      川森愛,小倉有紀子,藤川雄基,松島俊也
    • Organizer
      日本生態学会
    • Related Report
      2020 Research-status Report
  • [Presentation] ヒヨコの餌パッチ利用行動の確率的意思決定モデル2020

    • Author(s)
      松島俊也,小倉有紀子,藤川雄基,川森愛
    • Organizer
      日本動物行動学会
    • Related Report
      2020 Research-status Report

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Published: 2017-07-21   Modified: 2023-01-30  

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