Multi-Agent eXperimenter (MAX)

TL;DR

Many blockchain experiments involve large numbers of heterogeneous agents, but existing methods struggle to capture complex dynamics. MAX provides an agent-based simulation framework with an organization-centered A/G/R architecture and an integrated dynamic testing capability, plus a Generic Blockchain abstraction to serve as a reusable blueprint for various blockchain systems. The approach enables rapid prototyping and feasibility analysis of industrial blockchain applications and supports evaluating design decisions at ecosystem scale. The project is open-source under EPL-2.0 and has been used in European research collaborations, underscoring its practical impact for researchers and practitioners seeking modular, testable blockchain simulations.

Abstract

We present a novel multi-agent simulator named Multi-Agent eXperimenter (MAX) that is designed to simulate blockchain experiments involving large numbers of agents of different types acting in one or several environments. The architecture of MAX is highly modular, enabling easy addition of new models.