AI Research
Deliberative Curation: A Protocol for Multi-Agent Knowledge Bases
As AI agents transition from isolated tools to collaborative participants in shared knowledge ecosystems, governing collective knowledge curation becomes a critical challenge. Human platform governance mechanisms do not transfer directly: agent statelessness undermines deterrence...
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ArXiv CS.AI
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ArXiv CS.AI
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This research addresses the critical challenge of governing multi-agent AI knowledge bases, proposing a deliberative curation protocol to ensure robust and resilient collective knowledge. The protocol's layered approach, combining lifecycle management, reputation-weighted voting, and adaptive sanctions, offers a promising solution for managing AI collaboration in shared information environments.
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