Söylem ve Mimari Ürün: Yapay Zekâ Destekli Karşılaştırmalı Bir Analiz Modeli

Öz

Mimari söylemin somut bir tasarım ürününe dönüşüm süreci, mimarlık kuramı ve tasarım araştırmaları açısından her zaman ilgi çekici bir konudur. Tarihsel süreç boyunca toplumsal olgular, mimari söylemi biçimlendirmiş; bu söylem de yapı ürünlerinin ortaya çıkışını etkilemiştir. Ancak söylem ile tasarım ürünü arasındaki ilişki çoğu zaman belirsizdir. Genellikle tasarımın erken aşamalarında geliştirilen söylem, projeye dair soyut değerleri barındırır ve bu değerler metinsel ya da görsel ifadelerle temsil edilir. Tasarım bilişi alanındaki çalışmalar, bu dönüşüm sürecini el-zihin etkileşimi üzerinden, sınırlı sayıda denemenin yapıldığı kapsamlı süreçlerle incelemektedir. Bu çalışma, yapay zekâ destekli bir metinden-görüntüye modelin, erken tasarım sürecine katkı sağlayıp sağlayamayacağı ve söylem-ürün ilişkisinin sorgulanabilir doğasına yönelik bir değerlendirme yöntemi sunup sunamayacağı sorusuna odaklanmaktadır. Çok sayıda yineleme yapabilme avantajıyla bu çalışma, söylem ve tasarım ürünü arasındaki tutarlılığı test etmeyi amaçlamaktadır. Kuramsal çerçeve oluşturulduktan sonra, söylem ve ürün ilişkileri bakımından farklı karakterde iki mimar ve yapıtı seçilmiştir: Rem Koolhaas’ın MoMA Genişleme Yarışması için sunduğu öneri ve Brian Cantley’nin Syntaxonome adlı çalışması. Yapay zekâ modeliyle elde edilen görseller, orijinal tasarımlarla karşılaştırılmış ve söylem-ürün ilişkisi grafiksel ve sayısal oranlarla değerlendirilmiştir. Bu yöntem, mimarlık kuramında nitel bir sorunsalın nicel olarak ele alınmasına yönelik yeni bir yaklaşım sunmaktadır.

Anahtar Kelimeler

• Mimari söylem
• üretken YZ araçları
• metinden görüntüye
• insan-YZ işbirliği

Discourse and Architectural Artifact: An AI powered Comparative Analysis Model

Abstract

The transformation of architectural discourse into tangible design artifacts remains a central concern within architectural theory and design research. Historically, social phenomena have continuously shaped architectural discourse, which in turn has informed the emergence of built forms. However, the nature of the relationship between discourse and artifact remains ambiguous. Typically developed during the preliminary design phase, discourse encapsulates the intangible values of a project, often articulated through textual and visual media. Design cognition research investigates this transformation, focusing on the interaction between hand and mind via sketches, though such studies are limited by the number of iterations they can analyze. This study explores whether artificial intelligence, specifically text-to-image generation models, can offer a novel approach to evaluating the consistency between architectural discourse and its resulting artifact. By enabling numerous iterations, the proposed AI-supported method seeks to quantify a fundamentally qualitative research problem in architectural theory. Two case studies were selected based on contrasting discursive and formal characteristics: Rem Koolhaas’s Charette Submission for the Expansion of MoMA, and Brian Cantley’s Syntaxonome. The discourse associated with each architect was input into a text-to-image model to generate visual outputs. These were then compared with the original artifacts to evaluate the alignment between discourse and design. Results were analyzed through quantitative ratios and visual charts, offering a new perspective on the discourse- artifact continuum and highlighting the potential of AI tools in early-stage architectural design.

Keywords

• Architectural discourse
• generative AI
• human-AI collaboration
• text-to-image

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