信息层级单向约束定律(ILUC):多层级表征系统的普适结构约束 V17 中文版

Abstract

跨层级信息加工缺乏第一性原理层面的统摄约束。本文以资源有限、非平衡态维持与离散输入三条公理为起点,证明远离热力学平衡的物理信息系统,其单位时间信息处理量存在能量预算决定的刚性上限,即信息容量框(ICF),上限记为W。该框统摄时间单向性、层级单向性、双向临界等六大机制。聚焦跨层级编码转换,本文证明系统欲获高阶维度,须在固定配额内以低阶细节损失完成格式重编码,由此导出信息层级单向约束定律(ILUC):降维不可逆损、升维不可逆损、损耗标度律与逻辑时间绑定。经软件编译、深度网络与生物神经层级验证,为意识难问题、解释鸿沟与知识论证提供统一层级消解路径。详见《时序整合、双向临界与意识层级涌现》 Cross-level information processing lacks a first-principles framework to unify its constraints. Starting from three axioms—finite resources, non-equilibrium maintenance, and discrete input—this paper proves that any physical information system far from thermodynamic equilibrium has a hard ceiling on how much data it can handle per unit time. That ceiling, set by its energy budget, is the Information Capacity Frame (ICF), with upper limit W. The frame governs six core mechanisms including temporal unidirectionality and hierarchical constraints. Focusing on cross-level encoding, we show that gaining higher-level dimensions forces the system to re-encode information inside a fixed budget, sacrificing low-level details. This yields the Information-Level Unidirectional Constraint Law (ILUC): downward conversion loses information irreversibly; upward conversion also loses information irreversibly; loss scales with the dimension gap; and logical temporal binding is inevitable. We validate the framework through software compilation, deep-network cross-modal mapping, and biological neural hierarchies, providing a unified hierarchical resolution to Chalmers’ hard problem of consciousness, the explanatory gap, and the knowledge argument. The full consciousness-emergence framework is detailed in the author’s companion work .