用协同自知信息定义意识,区分意识与元认知。
Consciousness as Uncommon Self-Knowledge: A Synergistic Information Framework
- 以系统子部分联合产生的协同信息为意识标志,分解即消失。
- 麻醉与阿尔茨海默病仅降低协同信息,不损冗余信息。
- 适合研究意识机制、神经计算或大模型认知的学者。
我们提出非普遍自知(USK)作为意识的候选标准:系统关于自身的协同信息仅存在于子系统的联合中,分解后即被破坏。基于Gottwald的偏信息分解(PID)分划格理论,冗余对应Aumann的共同知识,协同则对应独立观察与联合观察间的差距。我们主张将自指向信息的协同成分作为意识加工的形式签名。若成立,该框架可(1)清晰区分意识与元认知(协同自知 vs. 冗余自知),(2)为整合信息理论(IIT)、全局工作空间理论(GWT)和高阶思想(HOT)提供原则性反驳解决方案,(3)通过自指向的偏信息率分解(PIRD)实现可操作化,(4)生成独特可检验预测,最强预测为GWT的时间分离现象(意识关联预广播协同形成,而非广播本身),以及在大语言模型中层扰动下自报告与任务表现解离。该假说与近期实证发现一致:麻醉与阿尔茨海默病均特异性减少协同信息处理,而保持或增加冗余信息。
原文摘要 · Abstract (English)
We propose uncommon self-knowledge (USK) as a candidate criterion for consciousness: synergistic information a system carries about itself that exists only in the joint of its subsystems and is destroyed by decomposition. Drawing on Gottwald's partition-lattice grounding of Partial Information Decomposition (PID), where redundancy corresponds to Aumann's common knowledge and synergy to the gap between separate and joint observation, we propose the synergistic component of self-directed information as a candidate formal signature for conscious processing. If correct, the framework would (1) offer a clean separation between consciousness and metacognition (synergistic vs. redundant self-knowledge), (2) provide principled resolutions to counterexamples that challenge IIT, GWT, and HOT, (3) be operationalizable via Partial Information Rate Decomposition (PIRD) with self-targeting, and (4) generate distinctive empirical predictions, the strongest being a GWT timing dissociation (consciousness correlates with pre-broadcast synergy formation, not broadcast itself) and a specific dissociation between self-report disruption and task-performance disruption under middle-layer perturbation in LLMs. The proposal is consistent with recent empirical findings that both anaesthesia and Alzheimer's disease specifically reduce synergistic information processing while preserving or increasing redundancy.
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