AKILLI MİMARLIĞA DOĞRU: YAPAY ZEKA YÖNLENDİRMELİ GERİBİLDİRİM DÖNGÜLERİ ÜZERİNE BİR AKIŞ ŞEMASI ÖNGÖRÜSÜ

Abstract

Yapay Zeka, mimari tasarım alanını dönüştürme potansiyeline sahip olup, yaratıcılık, optimizasyon ve sürekli iyileştirme için yeni fırsatlar sunmaktadır. Bu makale, yapay zekanın mimari tasarım sürecinin çeşitli aşamalarına entegrasyonunu, kavramsal fikir üretiminden enerji verimliliği, malzeme kullanımı ve maliyet bazında tasarım alternatiflerinin optimizasyonuna kadar geniş bir perspektiften ele alan ileriye dönük bir akış şeması sunmaktadır. Yapay zeka destekli araçlar, tasarım iş akışlarını hızlandırma, yaratıcı olanakları genişletme ve mimari çözümlerin hem yenilikçi hem de sürdürülebilir olmasını sağlama potansiyeline sahiptir. Bu makalenin temel odak noktası, geri besleme döngülerinin tasarım modellerinin iyileştirilmesi ve geliştirilmesindeki rolüdür; yapay zeka, kullanıcı geri bildirimlerinin kesintisiz bir şekilde tasarım sonuçlarını iteratif olarak iyileştirmek üzere dahil edilmesini mümkün kılmaktadır. Literatür incelemesi ve açıklayıcı örnekler aracılığıyla bu makale, yapay zekanın mimarinin geleceğini şekillendirmedeki dönüştürücü potansiyelini araştırırken, uygulama sürecinde karşılaşılan teknik, etik ve pratik zorlukları da ele almaktadır. Makale, gelecekte yapay zekanın mimari uygulamalara entegrasyonu konusunda bir akış şeması önerisi ile sonuçlanmakta olup, geri besleme döngüleri aracılığıyla yapay zeka yetenekleri ile insan yaratıcılığı ve denetimi arasındaki dengenin önemini vurgulamaktadır.

Keywords

• Makine Öğrenimi
• Yapay Zeka
• Mimari Tasarım
• Tasarım Optimizasyonu
• Geri Besleme Döngüleri

TOWARDS INTELLIGENT ARCHITECTURE: A FLOW-CHART FORESIGHT ON AI-DRIVEN DESIGN AND OPTIMIZATION

Abstract

Architectural design is being revolutionized by Artificial Intelligence (AI), which provides new opportunities for creativity, optimization and continuous improvement. Incorporating feedback loops from the generation of conceptual ideas to the optimization of design alternatives, this paper presents a forward-looking flowchart that illustrates the integration of AI into various inclusive stages of the architectural design process. The continuous integration of user input through these ‘feedback loops’ is essential for the refinement and enhancement of design outcomes, thereby enhancing the process's adaptability and responsiveness to social, cultural, and behavioral factors. By incorporating iterative feedback mechanisms at each stage, AI-driven design tools allow architects to create solutions that are not only in compliance with technical and performance standards, but also more closely aligned with user needs and expectations. In this study, the potential of AI to improve ‘user-centered design processes’ is emphasized through the development of a dynamic, feedback-driven workflow that encourages adaptability. Through a literature review, the paper investigates the technical, ethical, and practical implications of inclusive AI integration and its potential to transform the future of architecture.

Keywords

• Machine Learning
• Artificial Intelligence
• Architectural Design
• Design Optimization
• Feedback Loops

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