Functional Dynamics by Intention Recognition in Iterated Games. - Yuma Fujimoto; Kunihiko Kaneko (CoRR, 2018)

Reputation structure in indirect reciprocity under noisy and private assessment. - Yuma Fujimoto; Hisashi Ohtsuki (CoRR, 2022)

Learning in Multi-Memory Games Triggers Complex Dynamics Diverging from Nash Equilibrium. - Yuma Fujimoto; Kaito Ariu; Kenshi Abe (IJCAI, 2023)

Evolutionary stability of cooperation in indirect reciprocity under noisy and private assessment. - Yuma Fujimoto; Hisashi Ohtsuki (CoRR, 2023)

Memory Asymmetry: A Key to Convergence in Zero-Sum Games. - Yuma Fujimoto; Kaito Ariu; Kenshi Abe (CoRR, 2023)

Evolutionary stability of cooperation by the leading eight norms in indirect reciprocity under noisy and private assessment. - Yuma Fujimoto; Hisashi Ohtsuki (CoRR, 2023)

Memory Asymmetry Creates Heteroclinic Orbits to Nash Equilibrium in Learning in Zero-Sum Games. - Yuma Fujimoto; Kaito Ariu; Kenshi Abe (AAAI, 2024)

Nash Equilibrium and Learning Dynamics in Three-Player Matching m-Action Games. - Yuma Fujimoto; Kaito Ariu; Kenshi Abe (CoRR, 2024)

Synchronization behind Learning in Periodic Zero-Sum Games Triggers Divergence from Nash equilibrium. - Yuma Fujimoto; Kaito Ariu; Kenshi Abe (CoRR, 2024)

Time-Varyingness in Auction Breaks Revenue Equivalence. - Yuma Fujimoto; Kaito Ariu; Kenshi Abe (CoRR, 2024)

Synchronization in Learning in Periodic Zero-Sum Games Triggers Divergence from Nash Equilibrium. - Yuma Fujimoto; Kaito Ariu; Kenshi Abe (AAAI, 2025)

Global Behavior of Learning Dynamics in Zero-Sum Games with Memory Asymmetry. - Yuma Fujimoto; Kaito Ariu; Kenshi Abe (AAMAS, 2025)

Nash Equilibrium and Learning Dynamics in Three-Player Matching m-Action Games. - Yuma Fujimoto; Kaito Ariu; Kenshi Abe (AAMAS, 2025)

The Hamiltonian of Poly-matrix Zero-sum Games. - Toshihiro Ota; Yuma Fujimoto (CoRR, 2025)