1 citations · 1 across the 3 of their papers we have counts for
4 papers
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…
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…
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…
PAMS: Platform for Artificial Market Simulations
Masanori Hirano, Ryosuke Takata, Kiyoshi Izumi
This paper presents a new artificial market simulation platform, PAMS: Platform for Artificial Market Simulations. PAMS is developed as a Python-based simulator that is easily inte…