智能作为高维连贯性:可观测的维度限制和计算可处理性
1Sydney Medical School, University of Sydney, Sydney, NSW, Australia.
Bio Systems
|January 9, 2026
概括
智能从高维动态中出现,其中系统约束使记忆和计算成为可能. 这个框架解释了生物和人工智能之间的效率差距.
科学领域:
- 计算神经科学是一种神经科学.
- 理论生物学 理论生物学
- 系统生物学 系统生物学
背景情况:
- 生物智能依赖于复杂的,高维的动态.
- "维度的诅咒"传统上限制了系统分析,但它是生物计算的基础.
- 系统动态编码内存,约束和结构信息在nonergodic区域.
研究的目的:
- 为了正式确定高维动态和智能之间的关系.
- 提出一个"可观测的维度界限",以保护内部系统的复杂性.
- 为了解释生物智能的热力学效率.
主要方法:
- 发展理论框架.发展理论框架.
- 高维系统和非ergodicity的分析.
- 基于通道容量和时间分辨率的可观测尺寸界限的制定.
主要成果:
- 高维动态对于智能是必不可少的,它提供了内存和计算结构.
- 可观测的维度界限解释了系统如何屏蔽内部复杂性.
- 生物系统通过将不可逆转的承诺集中在行为界限上来表现出热力学效率.
结论:
- 知识的特点是保持和捍卫连贯的高维动态的能力.
- 这个框架提供了一个基质独立的智能定义.
- 这些原则可能适用于理解意识和像人类大脑皮层这样的系统中出现的代码.
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