Due to the consideration of people’s well-being and environmental comfort, as well as the building performance, which are being demanded as important design requirements by modern society’s standards,^1–9 nowadays, many researchers and practitioners are evaluating environmental sustainability and human factors of building design and management to comply with these sustainable building criteria. Better environmental controls and building system efficiency have been developed as a result of the growing demand for the advanced environmental comfort and sustainability in multiple engineering and science domains, and these related technological criteria are now emerging subjects of rapid growth for academic study. One important solution for this technology need is the development of smart buildings and intelligent environmental controls as a function of advanced computational technologies such as artificial intelligence (AI), machine learning theories and the Internet of Things (IoT).^10–13 Their ability to process vast amounts of data has the potential to significantly improve environmental efficiency as well as human physiological benefits and health through improved indoor environmental quality and higher building performance. Many attempts have been made in modern research domains to advance building environmental control methods by incorporating novel computational algorithms.

中文翻译：

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人工智能作为改变建筑科学和技术研究范式的代理人

由于考虑到人们的福祉和环境舒适度，以及建筑性能，现代社会的标准将这些要求作为重要的设计要求，^1-9如今，许多研究人员和从业人员正在评估建筑设计和管理的环境可持续性和人为因素，以符合这些可持续建筑标准。由于多个工程和科学领域对高级环境舒适性和可持续性的需求不断增长，因此开发了更好的环境控制和建筑系统效率，这些相关的技术标准现在是学术研究中快速增长的新兴主题。满足这一技术需求的一个重要解决方案是开发智能建筑和智能环境控制，作为人工智能 (AI)、机器学习理论和物联网 (IoT) 等先进计算技术的功能。^10–13它们处理大量数据的能力有可能通过改善室内环境质量和提高建筑性能来显着提高环境效率以及人类生理益处和健康。在现代研究领域已经进行了许多尝试，通过结合新的计算算法来推进建筑环境控制方法。