Can Jax speed up multi-agent economic simulations?
EconoJax: A Fast & Scalable Economic Simulation in Jax
October 30, 2024
https://arxiv.org/pdf/2410.22165EconoJax is a simplified, faster version of the AI Economist, a multi-agent simulation for exploring economic policies like taxation, built using JAX for GPU acceleration. It allows training with much larger populations (100+ agents) and faster training times (minutes vs. days) than the original AI Economist. This is relevant to LLM-based multi-agent systems as it demonstrates how performance bottlenecks can be addressed using tools like JAX, enabling experimentation with more complex and realistic multi-agent environments, especially concerning training time and scalability, potentially enabling broader exploration of agent interactions and emergent economic behaviors.