【摘要】 伴随人工智能时代的知识涌现，建成环境领域的知识结构和学习路径面临挑战。清华大学建筑学院“智慧园林”交叉探索型设计课立足于“风景园林+认知智能+数据科学”的交叉架构，运用人工智能辅助跨学科知识生成及技术转化。以13名同学历时16周的选题深化、自主学习过程为实验样本，探究人群多维度感知、数字景观、虚拟现实、深度学习、生成式算法、大语言模型等技术的智慧园林应用，探讨人工智能时代适用于建筑学、城乡规划、风景园林专业的跨学科自主学习范式。更多还原

【Abstract】 With the emergence of knowledge in the age of artificial intelligence, the knowledge structure and learning path in the field of the built environment are facing challenges. The“Intelligent Landscape”exploratory course at the School of Architecture, Tsinghua University, focuses on the interdisciplinary framework of“Landscape + Cognitive Intelligence + Data Science.”It utilizes artificial intelligence to facilitate interdisciplinary knowledge generation and technology transformation. By taking the 16-week topic deepening and self-learning process of 13 students as experimental samples, this study explores the application of technologies such as multi-dimensional perception, digital landscape, virtual reality(VR), deep learning,generative algorithms, and large language models(LLMs) in intelligent landscaping. Overall, it explores an interdisciplinary selflearning paradigm applicable to architecture, urban-rural planning, and landscape in the era of artificial intelligence.更多还原