Fattahi Maassoum Ameneh Sadat, Farkisch Hero, Taji Mohammad
Arch Bone Jt Surg. 2025;13(7):442-456. doi: 10.22038/ABJS.2024.83867.3815.
Hospitals represent one of the most complex subjects in architectural design. Over time, many hospitals undergo changes in their initial spatial layouts to accommodate evolving needs. This process often presents various challenges and problems, and the absence of an optimal design process for hospitals is a primary contributor to these issues. Artificial intelligence (AI), with its advanced capabilities, can offer highly accurate and rapid solutions. This research aims to present an integrated approach that combines architecture and AI for AI-based hospital design through neuro-symbolic strategies.
This research employs a theoretical-applied framework, and utilizes a descriptive-analytical method to investigate the role of artificial intelligence in the design process, particularly within hospitals. The data collection methods include a literature review and an examination of texts and studies related to architectural design and AI. Furthermore, by analyzing the data through content analysis, integrated neuro-symbolic strategies were introduced as a comprehensive approach to AI. The final model of the hospital design process, based on this approach, was subsequently presented.
Unified and hybrid techniques are two methods for integrating symbolic and sub-symbolic algorithms within the integrated neuro-symbolic approach. This innovative methodology leverages the strengths of both categories of algorithms while mitigating their respective weaknesses. Among the six methods presented in this paper, the hybrid strategy-method number three (neuro-symbolic) - emerges as the most effective means of achieving an integrated process that merges AI and architecture in hospital design.
In this process, the designer's interventions are minimized, allowing AI to produce the most optimal architectural design for a hospital by leveraging its capabilities.
医院是建筑设计中最复杂的主题之一。随着时间的推移，许多医院会对其初始空间布局进行调整，以满足不断变化的需求。这一过程常常带来各种挑战和问题，而缺乏针对医院的优化设计流程是这些问题的主要原因之一。人工智能（AI）凭借其先进的能力，可以提供高度准确和快速的解决方案。本研究旨在提出一种通过神经符号策略将建筑与人工智能相结合的基于人工智能的医院设计综合方法。
本研究采用理论应用框架，运用描述性分析方法来研究人工智能在设计过程中的作用，特别是在医院设计中的作用。数据收集方法包括文献综述以及对与建筑设计和人工智能相关的文本和研究的考察。此外，通过内容分析对数据进行分析，引入了集成神经符号策略作为人工智能的一种综合方法。随后基于该方法展示了医院设计过程的最终模型。
统一技术和混合技术是在集成神经符号方法中整合符号算法和子符号算法的两种方法。这种创新方法利用了两类算法的优势，同时减轻了它们各自的弱点。在本文提出的六种方法中，混合策略——方法三（神经符号）——成为在医院设计中实现将人工智能与建筑相结合的集成过程的最有效手段。
在这个过程中，设计师的干预被最小化，使人工智能能够利用其能力为医院生成最优化的建筑设计。
