ARC-AIG-003 — Artificial Intelligence in Architecture, Generative Design, Machine Learning, Deep Learning, Reinforcement Learning, and Intelligent Design Optimization

Description

This Master Prompt theme provides a comprehensive, interdisciplinary research framework for investigating the application of artificial intelligence (AI), generative computational methods, machine learning, deep learning, reinforcement learning, and intelligent optimization in architectural design, planning, modelling, evaluation, and decision-making. It integrates architectural design theory, computational geometry, spatial representation, building typology, knowledge-based design, human–AI collaboration, and algorithmic optimization to support scientifically rigorous research on intelligent architectural systems.