Decentralized LLM teams for perimeter defense outperform centralized command under unreliable communication; study compares central commander, auction-based consensus, and independent agents
Read the original at arxiv.org→arXiv:2610.41044v1 Announce Type: new Abstract: The use of large language models (LLMs) to coordinate multi-agent teams raises a fundamental architectural question: whether task allocation should be centralized in a...
Original headline: "Consensus Within, Competition Between: Decentralized LLM Teams for Perimeter Defense"
Coverage timeline
- Nov 2, 05:00 UTC arXiv cs.AI lead source Consensus Within, Competition Between: Decentralized LLM Teams for Perimeter Defense