Creating a carefully crafted agent-based model of the whole economy is, like climate modelling, a huge undertaking. It requires close feedback between simulation, testing, data collection and the ...

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 ...

This article presents an agent-based computational model of civil violence. Two variants of the civil violence model are presented. In the first a central authority seeks to suppress decentralized ...

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.