研究者
J-GLOBAL ID:202001002773475260   更新日: 2024年09月03日

府内 直樹

フナイ ナオキ | Funai Naoki
所属機関・部署:
職名: 教授
研究キーワード (2件): ゲーム理論 ,  行動ゲーム理論
競争的資金等の研究課題 (1件):
  • 2022 - 2026 限定合理的個人を仮定した大規模社会システムの動的制度設計
論文 (6件):
  • Naoki Funai. Reinforcement learning with foregone payoff information in normal form games. Journal of Economic Behavior and Organization. 2022. 200. 638-660
  • Naoki Funai. Stochastic adaptive learning with committed players in games with strict Nash equilibria. SSRN Electronic Journal. 2021
  • Naoki Funai. Adaptive Learning in Finitely Repeated Games. SSRN Electronic Journal. 2021
  • Naoki Funai. Convergence results on stochastic adaptive learning. Economic Theory. 2019. 68. 4. 907-934
  • Naoki Funai. An Adaptive Learning Model with Foregone Payoff Information. The B.E. Journal of Theoretical Economics. 2014. 14. 1. 149-176
もっと見る
講演・口頭発表等 (23件):
  • Stochastic Adaptive Learning with Committed Players in Centipede Games
    (East Asia Game Theory Conference 2024 2024)
  • Adaptive Learning with Tit-for-Tat Players in Finitely Repeated Prisoner's Dilemma Games
    (Interdisciplinary Meeting ON Evolution and Engineering 2023)
  • Stochastic Adaptive Learning with Committed Players in Games with Strict Nash Equilibria
    (The Lisbon Meetings in Game Theory and Applications #12 2023)
  • Stochastic Adaptive Learning with Committed Players in Games with Strict Nash Equilibria
    (日本経済学会2022年度秋季大会 2022)
  • Stochastic Adaptive Learning with Committed Players in Games with Strict Nash Equilibria
    (17th European Meeting on Game Theory (SING 17) 2022)
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学位 (1件):
  • PhD in Economics (University of Birmingham)
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