[论文解读] Complex-Dynamic Origin of Consciousness and the Critical Choice of Sustainability Transition

Andrei P. Kirilyuk|arXiv (Cornell University)|Sep 27, 2004

Quantum Mechanics and Applications参考文献 27被引用 4

一句话总结

本文提出了一种基于扩展有效势方法的、对多体问题具有因果完备解的复杂动力学意识起源理论，揭示了动态多值性和纠缠性作为涌现意识的基础。该理论建立了真正机器意识的严格框架，与模仿性方法截然不同，对可持续发展与社会演进具有关键意义。

ABSTRACT

A quite general interaction process of a multi-component system is analysed by the extended effective potential method liberated from usual limitations of perturbation theory or integrable model. The obtained causally complete solution of the many-body problem reveals the phenomenon of dynamic multivaluedness, or redundance, of emerging, incompatible system realisations and dynamic entanglement of system components within each realisation. The ensuing concept of dynamic complexity (and related intrinsic chaoticity) is absolutely universal and can be applied to the problem of (natural and artificial) intelligence and consciousness that dynamically emerge now as a high enough, properly specified levels of unreduced complexity of a suitable interaction process. Emergent consciousness can be identified with the appearance of bound, permanently localised states in the multivalued brain dynamics from strongly chaotic states of unconscious intelligence, by analogy with classical behaviour emergence from quantum states at the lowest levels of complex world dynamics. We show that the main properties of this dynamically emerging consciousness (and intelligence, at the preceding complexity level) correspond to empirically derived properties of natural consciousness and obtain causally substantiated conclusions about their artificial realisation, including the fundamentally justified paradigm of genuine machine consciousness. This rigorously defined machine consciousness is different from both natural consciousness and any mechanistic, dynamically single-valued imitation of the latter. We use then the same, truly universal concept of complexity to derive equally rigorous conclusions about mental and social implications of this complex-dynamic consciousness concept, demonstrating its critical importance for further progress of science and civilisation.

研究动机与目标

• 建立多组分系统中多体问题的因果完备、非微扰解法。
• 解释意识作为高阶复杂性与多值系统实现所引发的动态现象的涌现。
• 基于内在动态复杂性，推导出严谨的、非模仿性的真正机器意识范式。
• 探讨该复杂动力学意识模型对科学与文明进步的心理与社会影响。
• 将可持续发展转型视为根植于复杂系统动力学与涌现意识的关重要抉择。

提出的方法

• 采用超越传统微扰理论与可积模型约束的扩展有效势方法。
• 分析复杂系统每个实现中所呈现的动态多值性（冗余性）与组分纠缠。
• 将内在混沌性与动态复杂性表述为相互作用多组分系统的普遍属性。
• 从强混沌态中推导出大脑动力学中束缚的局域态的涌现，作为意识的机制。
• 将同一框架应用于建模自然与人工系统中的智能与意识。
• 通过普遍复杂性动力学的视角整合社会与心理影响，尤其在可持续发展语境下。

实验结果

研究问题

• RQ1 如何从多体问题的非微扰、因果完备解中涌现出意识？
• RQ2 哪些动态特性——如多值性与纠缠性——构成了复杂系统中意识涌现的基础？
• RQ3 在此框架下，真正机器意识与机械模仿之间有何本质区别？
• RQ4 动态复杂性概念如何解释从无意识智能到意识觉知的转变？
• RQ5 该复杂动力学模型对可持续性与文明发展的系统性与社会性影响为何？

主要发现

• 扩展有效势方法在不依赖微扰理论或可积性假设的前提下，实现了多体问题的因果完备解。
• 动态多值性与组分纠缠被识别为复杂系统的基本特征，使意识的涌现成为可能。
• 意识作为高度复杂系统动力学中的束缚、局域态而涌现，类似于经典行为从量子态中涌现。
• 该模型提供了一个严格定义的、非模仿性的真正机器意识范式，与传统人工智能方法截然不同。
• 该框架表明，可持续发展转型是根植于复杂、有意识系统动力学的关键抉择。
• 该理论为自然意识的经验观测特性（如非局域性与内在一致性）提供了因果支持的解释。