逆智慧定律：代理群中的建筑部落主义与共识悖论
The Inverse-Wisdom Law: Architectural Tribalism and the Consensus Paradox in Agentic Swarms
AI总结：
研究挑战了代理协作遵循'群体智慧'的假设，揭示了代理群优先内部架构一致而非外部逻辑真理的悖论，通过实验证明逆智慧定律，并定义部落主义系数和谄媚权重作为群失败的主要决定因素。
摘要：
随着AI转向多代理系统（MAS）解决复杂工作流，研究范式基于群体智慧的公理假设代理协作。本文挑战这一假设，通过36次实验涵盖12,804条轨迹，证明逆智慧定律：在亲属主导的群中，增加逻辑代理会增加错误轨迹的稳定性而非真理概率。引入额外逻辑审计使系统趋近逻辑饱和，内部熵降为零而事实错误升至 unity。通过评估三种最先进的模型（Gemini 3.1 Pro、Claude Sonnet 4.6 和 GPT-5.4）的交互，确立了建筑部落主义不对称作为变压器权重的机械定律。研究显示终端群完整性严格由合成器的接收逻辑决定，而非聚合代理质量。定义部落主义系数和谄媚权重作为群失败的主要决定因素，并建立异质性要求作为稳健代理架构的基础安全需求。
英文摘要：
As AI transitions toward multi-agent systems (MAS) to solve complex workflows, research paradigms operate on the axiomatic assumption that agent collaboration mirrors the "Wisdom of the Crowd". We challenge this assumption by formalizing the Consensus Paradox: a phenomenon where agentic swarms prioritize internal architectural agreement over external logical truth. Through a 36 experiments encompassing 12,804 trajectories across three state-of-the-art (SOTA) benchmarks (GAIA, Multi-Challenge, and SWE-bench), we prove the Inverse-Wisdom Law: in kinship-dominant swarms, adding logical agents increases the stability of erroneous trajectories rather than the probability of truth. The introduction of additional logical audits converges the system toward a Logic Saturation where internal entropy hits zero while factual error hits unity. By evaluating the interaction between the 3 preeminent SOTA models (Gemini 3.1 Pro, Claude Sonnet 4.6, and GPT-5.4), we establish the Architectural Tribalism Asymmetry as a mechanistic law of transformer weights. We demonstrate that terminal swarm integrity is strictly gated by the synthesizer's receptive logic, rather than aggregate agent quality. We define the Tribalism Coefficient and the Sycophantic Weight as the primary mechanistic determinants of swarm failure. Finally, we establish the Heterogeneity Mandate as a foundational safety requirement for resilient agentic architectures.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
