Agent-based modelling (ABM) has emerged as a pivotal tool in macroeconomics and economic policy analysis. By simulating the interactions of numerous heterogeneous agents — such as households ...

Many agent-based integrated urban models have been developed to investigate urban issues, considering the dynamics and feedbacks in complex urban systems. The lack of disaggregate data, however, has ...

A thorough analysis of risks in the banking system requires incorporating banks’ inherent heterogeneity and adaptive behavior in response to shocks and changes in business conditions and the ...

Guangjin Tian ¹, Zhi Qiao ¹, Modeling urban expansion policy scenarios using an agent-based approach for Guangzhou Metropolitan Region of China, Ecology and Society, Vol. 19, No. 3 (Sep 2014) ...

The authors propose agent-based modeling for the study of decentralized finance and decentralized autonomous organizations.

Adaptive AI combines reinforcement learning with agent-based modeling to drive business growth. This unique blend enables real-time response to external changes, even in production settings.