算法审美学:异源美学视野下AI美感的来源、法则与生成过程
Algorithm Aesthetics: The Source, Rules and Generation Process of AI Aestheticsfrom the Perspective of Heterogeneous Aesthetics
作者:朱华(1.国际现实世界资产研究协会，香港 999077)
[摘要]:当审美主体扩展至算法智能，其美感来源与本质成为核心问题，传统美学以人类情感经验为核心的理论难以解释算法创作中自成体系的形式偏好。本文基于异源美学框架构建算法审美学，提出算法美感是具备独立价值的美感形态，而非人类美学模拟。文章构建算法美感三元结构模型，指出其根植于人类体验、数据统计性与算法结构性;提炼五大生成原则，并建立美的算法生成流程。以“超感自然”“虚拟存在”系列作品为例，证实算法在认知维度具备人类难以替代的独特审美价值。研究将审美从人类心灵反映世界，转向多元智能系统递归建构意义的复杂问题，为算法艺术批评提供理论支撑。
[关键词]: 算法审美学;算法美感;三元结构;生成原则;生成流程:异源美学;跨界涌现
[Abstract]: When the aesthetic subject expands to algorithmic intelligence, the source and essence ofits aesthetic appeal become the core issue. Traditional aesthetics, which is centered on humanemotional experience, is unable to explain the self-contained formal preferences in algorithmiccreations. This article, based on the heterogeneous aesthetics framework, constructs algorithmicaesthetics and proposes that algorithmic beauty is an aesthetic form with independent value, ratherthan a simulation of human aesthetics. The article builds a three-element model of algorithmic beauty,pointing out that it is rooted in human experience, data statistics, and algorithm structure; it extractsfive generation principles and establishes an algorithmic generation process of beauty. Taking the"Super Sensory Nature" and "Virtual Existence" series of works as examples, it confirms thatalgorithms possess unique aesthetic values that are difficult to be replaced by humans in the cognitivedimension. The research shifts aesthetics from reflecting the world in the human mind to the complexissue of recursive construction of meaning by multiple intelligent systems, providing theoretical support for algorithmic art criticism.
[Key Words]: Algorithm Aesthetics; Algorithmic Aesthetics; Triadic Structure; Generation Principles;Generation Process; Heterogeneous Aesthetics; Cross-border Emergence
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