SwarmWorld: Stigmergic technological evolution in societies of language-model agents
[Sztuczna inteligencja] Autorzy: Subhadeep Pal, Fiona Y. Wang, Markus J. Buehler
Collective intelligence can emerge when individuals coordinate through a shared environment, allowing local actions to accumulate into durable social organization. Language-model agents offer a new substrate for this process, yet most multi-agent systems rely on direct conversation, predefined roles, or centralized workflows. It remains unclear whether decentralized agents can build functional technologies and outperform independent search. Here, initially homogeneous LLM agents in SwarmWorld self-organize without assigned roles or recipes into evolving technological societies. Agents explore a spatial environment, process resources, test materials, construct persistent artifacts, and write executable controllers evaluated by a deterministic simulator under unseen disturbances after the agents are removed. SwarmWorld splits cognition from consequence: agents propose architectures and co…
- Kategoria arxiv
- cs.AI
- Kategoria
- Sztuczna inteligencja