Engineering Resilient Reasoning: The Iterative Synergy Bidding (ISB) Protocol
Description
Large Language Models (LLMs) excel in benchmarks but collapse under real-world adversarial pressure. Their fatal flaw is epistemic isolation. Hallucinations, context-repulsion, and bias amplification are not bugs: they are symptoms of monologic reasoning systems unchallenged by competing perspectives. While current solutions like Chain-of-Thought or Multi-Agent Debate refine output, they do not re-engineer reasoning. They polish the monologue.
The Iterative Synergy Bidding (ISB) protocol offers a structural rebellion. Instead of reasoning in solitude, heterogeneous agents clash in a structured adversarial arena. Ideas are not accepted; they survive. Influence is not assigned but earned through TrustDynamics, a mechanism that rewards ideas for withstanding intellectual assault and exposing fragility in others. Unlike the automated workflows of Deep Research Agents which prioritize retrieval and planning, ISB institutionalizes conflict to forge epistemically resilient outputs.
This paper is not a description; it is a product of ISB itself. Forged through multi-round adversarial synthesis between the collaborating AI agents and a human orchestrator, it demonstrates a Synergy Coefficient (SC) significantly greater than 1.0, evidenced by the emergence of novel concepts from the adversarial process. ISB is a constitution for collaborative cognition. It lays the scaffolding for UMOI, a modular AI framework for resilient reasoning. This is the protocol: a prelude to an ecosystem where truth is not found, but fought for.
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Additional details
References
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