Multi-Agent eXperimenter (MAX)
arXiv:2404.08398v11 citationsh-index: 12
Originality Synthesis-oriented
AI Analysis
This provides a tool for researchers in blockchain and multi-agent systems, but it is incremental as it focuses on modular design rather than new paradigms.
The paper tackles the problem of simulating blockchain experiments with diverse agents by introducing a novel multi-agent simulator called MAX, which features a highly modular architecture for easy model integration.
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.