认知神经科学研究报告【20260101】

文章目录Experimental Report: Emergence of Metastable Disagreement in a Redundant Neural SystemExperimental Report: Emergence of Metastable Disagreement in a Redundant Neural SystemObjectiveTo test the hypothesis that consciousness might arise from the internal “coupling tension” among redundant neural pathways when faced with conflicting signals.Experimental DesignWe built a multi‑head system (9 parallel instances of MiniRBT‑H256, each with independent LoRA adapters). Three functional clusters (A: semantic, B: emotional, C: logical) were defined. The system was trained online with 30 steps of Chinese sentiment samples. Conflict was introduced in steps 11–20 using sarcastic texts with opposite labels.Four architectural versions were tested. V1–V3 used a central arbiter that forcibly merged all heads; V4 removed the arbiter entirely, allowing each cluster to evolve independently.Key ResultsOnly V4 produced a stable, non‑zerovoting disagreement rate(0.7 throughout steps 1–29), meaning that the three clusters consistently disagreed on the final label while maintaining a “2 vs. 1” coalition. Crucially, during the conflict period (steps 11–20), the total loss of V4decreasedfrom ~2.8 to ~1.5 (see figure), whereas V2 and V3 showed sharp loss peaks (up to 2.3 and 3.9, respectively). This indicates that, without an arbiter, the system did not “struggle” but instead found a low‑energy coexistence state.DiscussionThe persistent 0.7 disagreement rate represents ametastable state—a self‑organized division of labor where cluster C consistently outputs “negative” (acting as a baseline), while clusters A and B take turns correcting the decision. This pattern is absent when a central arbiter enforces consensus, suggesting thatimposed unity suppresses internal differentiation, whilefree evolution allows spontaneous specialisation.ConclusionThe experiment provides computational evidence that stable internal disagreement—not forced consensus—may be a necessary condition for the emergence of higher‑order information processing. In this simplified model, the V4 architecture mimics a primitive form of “sub‑conscious” plurality, which could serve as a minimal testbed for studying artificial consciousness.StatusResults from V2–V4 are reproducible; V1 data is not available. The code and raw CSV files are archived for future analysis.✅ 成功加载: V2(Splitting Arbiter)(行数:30)✅ 成功加载: V3(Unfreeze Embed Arbiter)(行数:30)✅ 成功加载: V4(No Arbiter, Free Evolution)(行数:30) Loss 对比图已保存为 comparison_loss_V2_V3_V4.png V4 分歧指标图已保存为 V4_disagreement_and_JSD.png 【基于 V2、V3、V4 的实验结论】1. Loss 行为转变 - V2(有仲裁器)冲突期 Loss 峰值 ~2.3系统被强行压制。 - V3(解冻嵌入)冲突期 Loss 峰值 ~3.9内部角力加剧但输出仍统一。 - V4(无仲裁器)冲突期 Loss 不升反降至 ~1.5系统找到了低能耗共存方式。2. 意识涌现的关键证据V4 - 投票分歧率稳定在0.7表明系统形成了固定的‘2 vs1’亚稳态。 - C 簇逻辑头始终保持0充当基线A/B 簇轮流修正形成内部分工。 - 这证明了‘强制共识仲裁器’会消灭意识分歧而‘自由演化’会自发产生层级化智能。