Document Type : RESEARCH PAPER
Authors
1
PhD candidate, Department of Architecture, Faculty of Art and Architecture, Islamic Azad University, Mashhad Branch, Mashhad, Iran,
2
Department of Architecture, Faculty of Art and Architecture, Islamic Azad University, Mashhad
3
Assistant Professor, Department of Mining, Faculty of Engineering, Islamic Azad University, Shahrud Branch, Shahrud, Iran
10.22038/abjs.2024.83867.3815
Abstract
Objectives: Hospitals are among the most complex subjects in architectural design. In many hospitals, changes occur over time in the initial spatial layout, which is redefined to accommodate new needs. This process is often accompanied by challenges and problems, and the absence of an optimal design process for hospitals is one of the main reasons for these issues. Artificial intelligence (AI), with its capabilities, can provide the most optimal options with high accuracy and speed. This research aims to present an integrated architecture and artificial intelligence process for AI-based hospital design through neuro-symbolic strategies.
Methods: This research is a theoretical-applied one, and with a descriptive-analytical method, tries to investigate the role of artificial intelligence in the design process, particularly in hospitals. The data collection method is a library form, texts review, and studies related to the architectural design process and artificial intelligence. The data collection method involves a review of library resources, texts, and studies related to the architectural design process and artificial intelligence. Furthermore, by investigating and analyzing the data using content analysis, integrated neuro-symbolic strategies were introduced as the comprehensive approach in artificial intelligence, and the final model of the hospital design process based on this approach was presented.
Findings: Unified and hybrid techniques are two methods for integrating symbolic and sub-symbolic algorithms within the integrated neuro-symbolic approach. This new methodology allows for utilizing the advantages of both algorithm categories while addressing the disadvantages of each with the other. Among the six methods introduced in this paper, in the context of hospital design, the hybrid strategy, method number three (neuro; symbolic), emerges as the most effective means to achieve an integrated process that merges artificial intelligence and architecture in hospital design.
Conclusion: 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.
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