Project Sid: Many-agent simulations toward AI civilization
원문 초록
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.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Matrix-Game: Interactive World Foundation Model
TransDreamerV3: Implanting Transformer In DreamerV3
Toward Memory-Aided World Models: Benchmarking via Spatial Consistency
MineAnyBuild: Benchmarking Spatial Planning for Open-world AI Agents
BAR: A Backward Reasoning based Agent for Complex Minecraft Tasks
BeliefNest: A Joint Action Simulator for Embodied Agents with Theory of Mind
토론
이 논문과 연결된 포럼 글이 아직 없습니다.