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    篇名/題名:The STG-framework: A Pattern-Based Algorithmic Framework for Developing Generative Models of Parametric Architectural Design at the Conceptual Design Stage
    摘要:Although algorithmic modeling tools have become a popular means of generating complex geometric forms, the potential of generative algorithms should not be limited to geometric intentions.
    However, the need to possess programming and data manipulation skills is often a major obstacle when architects wish to implement algorithms for representing their non-geometric intentions. This paper therefore proposes an algorithmic framework entitled STGf, which is based on the “SemanticTopological-Geometric (STG)” information conversion pattern, and can help architects to convert their abstract design intentions into computational procedures. By providing rewritable sample
    GhPython scripts and adjustable components’ clusters of Grasshopper, the STGf framework aims to help architects for representing then to explore their abstract intentions beyond geometric features at an early design stage.
    類型:期刊論文
    著作語言:英文
    關鍵詞:Design intention; parametric design; generative modeling; design pattern; algorithmic framework
    作者:作者:
     林傑仁
    學校系所:室內設計系
    卷期:Computer-Aided Design and Applications;vol. 15 卷;period 5 期
    頁碼:1-9