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人工智能推动中国风景园林专业发展的 潜力及路径
史舒琳,王暠,杨锐*
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作者简介:史舒琳 1983年生/女/广西桂林人/博士/清华大学建筑学院景观学系助理 教授,硕士生导师/研究方向为自然疗愈、气候韧性景观解决方 案、循证设计(北京 100084)
摘要:
人工智能的发展浪潮已席卷全球,在中国也已成为 社会经济各方面发展的重要助力。然而,在风景园林专业领 域,尚未有从全局视角探讨人工智能可能对风景园林专业知识 与实践架构带来的结构性改变。基于系统文献综述,识别人工 智能在风景园林领域的发展趋势,以及提升和拓展风景园林专 业架构的具体领域,进一步提出依托人工智能的发展与应用, 有利于风景园林专业全局发展的4个转变方向,即由经验驱动 转向数据循证驱动、推动全生命周期工作闭环、加快融入和打 造平台生态,以及尽快推进专业和持续职业教育变革等,并探 讨各方向的实现路径,为我国风景园林专业借助人工智能、实 现突破性发展提供参考。
关键词:  风景园林  专业  人工智能  知识与实践架构
DOI:10.19775/j.cla.2024.09.0006
投稿时间:2024-06-04修订日期:2024-07-16
基金项目:
The Potential and Path of Artificial Intelligenceto Promote the Disciplinary and ProfessionalDevelopment of Landscape Architecture in China
SHI Shulin,WANG Hao,YANG Rui
Abstract:
The development of artificial intelligence (AI) has swept the world, and it has become an important boost for the development of many aspects of society and economy in China. However, in the field of landscape architecture, there has been no discussion on the structural changes that AI may bring to the disciplinary and professional knowledge and practice of landscape architecture from an overall perspective. Based on the systematic literature review, this paper identifies the development trends of AI in the field of landscape architecture. It also discusses how AI improves and expands the specific areas of landscape architecture discipline and profession, and further proposes four transformation directions that are conducive to the overall development of landscape architecture based on the development and application of AI, namely, from experience-driven to data and evidence-based, promoting the lifecycle practice loop, accelerating the integration and construction of platform ecology, and pushing forward professional education and continuous professional development reform as soon as possible, and discusses the realization paths of each direction. It sheds light on the breakthrough development of China's landscape architecture discipline and profession with the help of AI.
Key words:  landscape architecture  discipline and profession  artificial intelligence (AI)  knowledge and practice architecture

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