AI Research
Emergent Collaborative Deliberation in Multi-Model AI Systems: A BFT-Derived Protocol for Epistemic Synthesis
We present the Consilium Protocol, a Byzantine Fault Tolerance-derived architecture for structured multi-model AI deliberation that treats inter-model disagreement as epistemic signal rather than error. The protocol assigns engineered cognitive personas to language models -- sepa...
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ArXiv CS.AI
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ArXiv CS.AI
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This research introduces a novel protocol for AI collaboration that treats disagreements productively, leading to more robust and verifiable insights. By focusing on engineered cognitive personas and out-of-sample validation, it can uncover blind spots and reduce costs compared to traditional alignment methods.
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