选择性不完美:一种用于分析、创造与发现的生成框架 / Selective Imperfection as a Generative Framework for Analysis, Creativity and Discovery
1️⃣ 一句话总结
这篇论文提出了一个名为‘物质音乐’的创新框架,通过将物质(如蛋白质、蛛网)的振动和结构模式映射为音乐元素,揭示了科学与艺术创造都源于在约束条件下通过‘选择性不完美’来探索新可能,并发现优秀音乐作品与高强度材料在‘中等缺陷’水平上遵循相似的优化原理。
We introduce materiomusic as a generative framework linking the hierarchical structures of matter with the compositional logic of music. Across proteins, spider webs and flame dynamics, vibrational and architectural principles recur as tonal hierarchies, harmonic progressions, and long-range musical form. Using reversible mappings, from molecular spectra to musical tones and from three-dimensional networks to playable instruments, we show how sound functions as a scientific probe, an epistemic inversion where listening becomes a mode of seeing and musical composition becomes a blueprint for matter. These mappings excavate deep time: patterns originating in femtosecond molecular vibrations or billion-year evolutionary histories become audible. We posit that novelty in science and art emerges when constraints cannot be satisfied within existing degrees of freedom, forcing expansion of the space of viable configurations. Selective imperfection provides the mechanism restoring balance between coherence and adaptability. Quantitative support comes from exhaustive enumeration of all 2^12 musical scales, revealing that culturally significant systems cluster in a mid-entropy, mid-defect corridor, directly paralleling the Hall-Petch optimum where intermediate defect densities maximize material strength. Iterating these mappings creates productive collisions between human creativity and physics, generating new information as musical structures encounter evolutionary constraints. We show how swarm-based AI models compose music exhibiting human-like structural signatures such as small-world connectivity, modular integration, long-range coherence, suggesting a route beyond interpolation toward invention. We show that science and art are generative acts of world-building under constraint, with vibration as a shared grammar organizing structure across scales.
选择性不完美:一种用于分析、创造与发现的生成框架 / Selective Imperfection as a Generative Framework for Analysis, Creativity and Discovery
这篇论文提出了一个名为‘物质音乐’的创新框架,通过将物质(如蛋白质、蛛网)的振动和结构模式映射为音乐元素,揭示了科学与艺术创造都源于在约束条件下通过‘选择性不完美’来探索新可能,并发现优秀音乐作品与高强度材料在‘中等缺陷’水平上遵循相似的优化原理。
源自 arXiv: 2601.00863