Project Sid: Many-agent simulations toward AI civilization
On the map: World models → World models for language agents
Abstract (arXiv)
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 Neural 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 agent 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 transmission. These preliminary results show that agents can achieve significant milestones towards AI civilizations, opening new avenues for large simulations, agentic organizational intelligence, and integrating AI into human civilizations.
Key facts. Cited by 46 papers in the map (data through 7 Oct 2026). Placed in World models for language agents, one of 11 directions in World models. Builds on 48 of its 63 references that are in the map. First posted on arXiv 31 Oct 2024.
Builds on
48 of 63 references.
Closest ancestors · 7
Same direction, newest first
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Other references · 41
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Citing papers per year: 2024: 2; 2025: 24; 2026: 20.
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12 most cited of 31 All 31 (JSON)
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- 2026Mind Viruses: Self-Propagating Ideas in Multi-Agent LLM Systems10 Aug 2026
- 2026How Affect Propagates among LLM Agents: Emergent Emotional Contagion in Crowd Simulation27 Jul 2026
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- 2026Mechanism Plausibility in Generative Agent-Based Modeling12 May 2026
- 2026Superminds Test: Actively Evaluating Collective Intelligence of Agent Society via Probing Agents24 Apr 2026
- 2026Interaction Theater: A case of LLM Agents Interacting at Scale23 Feb 2026
- 2026Does Socialization Emerge in AI Agent Society? A Case Study of Moltbook15 Feb 2026
- 2026The Five Ws of Multi-Agent Communication: Who Talks to Whom, When, What, and Why -- A Survey from MARL to Emergent Language and LLMs12 Feb 2026
12 newest of 31 All 31 (JSON)
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- 2025Shall We Play a Game? Language Models for Open-ended Wargames21 Sep 2025
- 2025LLM Generated Persona is a Promise with a Catch18 Mar 2025
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