Agent-based computational economics (ACE) is a form of computational economics that uses autonomous agents to model economic processes. These agents can represent anything from individual consumers and firms to countries or even the global economy. The aim of ACE is to understand how these agents interact with each other to produce emergent phenomena, such as market bubbles or financial crises.

ACE has its roots in artificial life and artificial intelligence research, and has been used to study a wide variety of economic problems, from the evolution of cooperation to the effects of taxation on innovation. In recent years, ACE has become increasingly popular as a tool for policy analysis, due to its ability to capture the complex interactions between agents in a realistic way.

There are a number of different software platforms that can be used for ACE simulations, including NetLogo, Repast and Mason.