This study integrates artificial intelligence and computational design tools to extract information from architectural heritage. Photogrammetry-based point cloud models of brick walls from the Anatolian Seljuk period are analysed in terms of the interrelated units of construction, simultaneously considering both the inherent symmetries and irregularities. The real-world data is used as input for acquiring the stochastic parameters of spatial relations and a set of parametric shape rules to recreate designs of existing and hypothetical brick walls within the style. The motivation is to be able to generate large data sets for machine learning of the style and to devise procedures for robotic production of such designs with repetitive units.

本文利用人工智能和计算设计工具来提取建筑遗产信息，分析安纳托利亚塞尔柱时期的砖墙，以建设单位为关键，同时考虑内在对称性和不规则性，使用实际数据作为输入，获取随机参数和参数化形状规则，以重新创建现有和假想的砖墙设计风格，最终可生成大数据集，从而推导出机器学习的风格和机器人生产此类具有重复单位设计的程序。

对历史砖墙纹样的生成参数建模：对称性和变异性