3 papers
q-fin.CP2026
Financial Market as a Self-Organized Ecosystem: Simulation via Learning with Heterogeneous Preferences
Ryuji Hashimoto, Ryosuke Takata, Masahiro Suzuki +2
Agent-based models provide a constructive approach to studying emergent dynamics in life-like systems composed of interacting, adaptive agents. Financial markets serve as a canonic…
physics.soc-ph2026
From Heard to Lived Opinions: Simulating Opinion Dynamics with Grounded LLM Agents in Economic Environments
Ryuji Hashimoto, Masahiro Kaneko, Ryosuke Takata +2
Opinion dynamics (OD) studies how individual opinions evolve and generate collective patterns such as consensus and polarization. While recent work explores OD using populations of…
cs.CY2025
Emergence from Emergence: Financial Market Simulation via Learning with Heterogeneous Preferences
Ryuji Hashimoto, Ryosuke Takata, Masahiro Suzuki +2
Agent-based models help explain stock price dynamics as emergent phenomena driven by interacting investors. In this modeling tradition, investor behavior has typically been capture…