projectSidVideo.mp4
This repository contains our technical report: "Project Sid: Many-agent simulations toward AI civilization"
AI agents have been evaluated in isolation or within small groups, where interactions remain limited in scope and complexity. Large-scale simulations involving many autonomous agents—reflecting the full spectrum of civilizational processes—have yet to be explored. Here, we demonstrate how 10 – 1000+ AI agents behave and progress within agent societies. We first introduce the PIANO (Parallel Information Aggregation via Neu- ral Orchestration) architecture, which enables agents to interact with humans and other agents in real-time while maintaining coherence across multiple output streams. We then evaluate agent performance in large- scale simulations using civilizational benchmarks inspired by human history. These simulations, set within a Minecraft environment, reveal that agents are capable of meaningful progress—autonomously developing specialized roles, adhering to and changing collective rules, and engaging in cultural and religious transmis- sion. These preliminary results show that agents can achieve significant milestones towards AI civilizations, opening new avenues for large-scale societal simulations, agentic organizational intelligence, and integrating AI into human civilizations.
The paper is available in two locations:
- arXiv: arXiv:2411.00114
- PDF: 2024-10-31.pdf (in this repository)
If you find this work useful in your research, please consider citing:
@article{altera2024sid,
title = {Project Sid: Many-agent simulations toward AI civilization},
author = {Altera.AL},
year = {2024},
journal = {arXiv preprint arXiv:2411.00114}
}