Agent-Based Modeling: The Santa Fe Institute Artificial Stock Market Model Revisited

Authors: Blake LeBaron
Year: 2001
Summary: This paper discusses an early and influential agent-based model (ABM) of a financial market. It shows how complex market dynamics, such as bubbles and crashes, can emerge from the interactions of boundedly rational agents who learn and adapt their trading strategies over time. This demonstrates how computational simulation can be a tool for discovery and for understanding complex, emergent phenomena.
Link: https://www.researchgate.net/publication/228846888_Agent-Based_Modeling_The_Santa_Fe_Institute_Artificial_Stock_Market_Model_Revisited