Mapping Emerging Machine Learning Methodologies in Architectural Design: A Pathway for Present Integration and Future Research

Abstract The architectural design process spans a complex, iterative value chain, requiring diverse expertise across conceptualisation, technical development, and building use. While recent advances in machine learning (ML) have sparked growing interest in its application to architectural design, most research remains narrowly focused on task-specific automation in early-stage design. This paper…