算法模型解析设计黑箱

Analyzing the Black Box of Design with Algorithm Model

本文以建筑数字技术软件无限扩张的当下为背景,呼吁建筑数字方法应回归对学科本原的结构化技术策略思考。笔者以线性规划算法模型为例,呈现程序编码算法模型对学科问题转译过程的显性与隐性潜能。进而,文章阐述大数据人工智能算法模型的隐性转化编码模式,挖掘基于大数据算法模型的建筑设计方法的隐性转译机制,并以此突破并超越人类思维定式的逻辑限制,在概率空间中塑造未来建筑新方法。

The paper takes the current expansion of architectural software as the background of digital technology, and calls for the architectural methodology to return to the original subject of the structural digital technology strategy. Taking the linear programming algorithm model as an example, the author presents the explicit and implicit potential of the programming algorithm model for the translation process of subject problems. Furthermore, the paper expounds the implicit conversion coding mode of the big data artificial intelligence algorithm model, and mines the implicit translation mechanism of the architectural design method based on the big data algorithm model, and breaks through and surpasses the logical limitation of human mindset in the probability space for shaping the future of architecture.