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RCP Framework. Major future implications

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Zenodo2026-04-07 更新2026-05-26 收录
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RCP proposes that what we call "consciousness" is better understood as four measurable functional components: Modeling, Novelty Generation, Causal Reach, and Informational Feedback. The framework is substrate-independent — it applies equally to biological organisms, artificial intelligence systems, and multi-scale physical networks. Version 7 integrates verified findings from Assembly Theory (Nature 2023), bioelectric collective intelligence (Levin 2023), phi-scaled neural oscillation architecture (Frontiers in Human Neuroscience 2026, n=320), Schumann resonance entrainment (Applied Sciences 2025), causal emergence (Hoel et al. PNAS 2013), dissipative structures (Prigogine Nobel 1977), the Landauer principle (experimentally verified 2012/2014), top-down causation (Ellis 2012), and AI interpretability (Lindsey/Anthropic 2025). Seven falsifiable predictions are included, with experimental protocols for the SAE Cross-Architecture Probe, Schumann-EEG correlation study, and synthetic filament topology test. Fields spanned: physics, biology, neuroscience, cognitive science, AI interpretability, complex systems, thermodynamics, epigenetics, acoustics, and philosophy of mind.

RCP提出,我们所称的“意识”可更恰当地被理解为四个可量化的功能组分:建模(Modeling)、新奇性生成(Novelty Generation)、因果覆盖范围(Causal Reach)与信息反馈(Informational Feedback)。该框架不依赖具体实现基质,可同等适用于生物体、人工智能系统与多尺度物理网络。 第7版整合了来自以下领域的已验证研究成果:组装理论(Assembly Theory,发表于《Nature》2023年)、生物电集体智能(bioelectric collective intelligence,Levin 2023)、φ标度神经振荡架构(phi-scaled neural oscillation architecture,发表于《Frontiers in Human Neuroscience》2026年,样本量n=320)、舒曼共振同步(Schumann resonance entrainment,发表于《Applied Sciences》2025年)、因果涌现(causal emergence,Hoel等发表于《PNAS》2013年)、耗散结构(dissipative structures,普里戈金1977年诺贝尔化学奖相关理论)、兰道尔原理(Landauer principle,2012/2014年获实验验证)、自上而下因果(top-down causation,Ellis 2012)以及AI可解释性(AI interpretability,Lindsey/Anthropic 2025)。 本数据集包含7项可证伪的预测,附带针对SAE跨架构探针(SAE Cross-Architecture Probe)、舒曼共振-脑电图(EEG,electroencephalogram)关联研究以及合成丝状体拓扑测试的实验方案。 涵盖的学科领域包括:物理学、生物学、神经科学、认知科学、AI可解释性、复杂系统、热力学、表观遗传学、声学以及心灵哲学(philosophy of mind)。

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2026-04-07
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