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 ...

This paper explores the basic elements of Agent-Based Models and the implications of this simulation approach for public administration research. The general principles of agent-based modeling are ...

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.