A Review of Generative Artificial Intelligence-Assisted Scenario Development Approaches in Landscape Architecture

Yıl 2025, Cilt: 07 Sayı: 02, 62 - 83, 30.12.2025

Arzu Altuntaş

https://doi.org/10.5281/zenodo.18095485

Öz

In this article, we offer a comprehensive review of the evolution, progress and current state of Artificial Intelligence supported scenario generation research in Landscape Architecture. This technological development is enables a deep paradigm transformation centred on the shift from designing static “objects” to fostering dynamic “processes” and “systems” capable of self-adaption and evolve over time. The authors cover key generative methods such as Parametric Generatives Generative Design, focusing on rule-based optimization, Generative Adversarial Networks which leverage training via competition between networks and Text-to-Image models that generate instant conceptual visualisations. These are not merely tools to make artefacts of the design but sophisticated instruments for informed site analysis and performance-based optimization—the results of which involving hundreds if not thousands of design alternatives within minutes, are captured and tabulated efficiently. In addition, the study helps to understand crucial concerns regarding creativity, algorithmic bias and transparency. It emphasizes that Artificial Intelligence systems have the potential to exacerbate human biases present in training data and that these models can be so opaque as to create significant trust issues. In order to tackle these challenges, the paper calls for Explainable Artificial Intelligence techniques that provide interpretability, as well as User Interface/User Experience design tactics to minimize cognitive biases such as Confirmation Bias and Automation Bias. The dialogue progresses to discuss more sophisticated notions of Reinforcement Learning and World Models, in which Artificial Intelligence plays an active role in the design of dynamic, adaptive and regenerative landscape systems.

Anahtar Kelimeler

G.A.R.D.E.N. framework , generative artificial intelligence , landscape architecture , scenario generation

Peyzaj Mimarlığında Üretken Yapay Zeka Destekli Senaryo Geliştirme Yaklaşımlarına Bir Bakış

Öz

Bu makalede, Peyzaj Mimarlığı alanında Yapay Zeka destekli senaryo üretimi araştırmalarının evrimi, ilerlemesi ve mevcut durumu hakkında kapsamlı bir inceleme sunulmaktadır. Bu teknolojik gelişme aslında, statik “nesneler” tasarlamaktan, zaman içinde kendi kendine adapte olabilen ve gelişebilen dinamik “süreçler” ve “sistemler” geliştirmeye doğru kayan derin bir paradigma dönüşümünü mümkün kılmaktadır. Çalışmada, kural tabanlı optimizasyon olan Parametrik Üretken Tasarım, ağlar arasındaki rekabetçi eğitimden yararlanan Üretken Çekişmeli Ağlar ve anlık kavramsal görselleştirme üreten Metinden-Görüntüye modeller gibi temel üretken yöntemler ele alınmıştır. Bunlar, tasarımın çıktılarını ortaya koymak için bir araç olmanın yanı sıra, bilgilendirilmiş saha çalışması analizleri ve performansa dayalı optimizasyon için kullanılan araçlardır. Bu değerlendirmeler dakikalar içinde yüzlerce hatta binlerce tasarım alternatifi haline getirilmektedir. Bunun yanı sıra, çalışmada yaratıcılık, algoritmik önyargı ve şeffaflık ile ilgili kritik endişelerin anlaşılmasına eleştirel bir bakış açısıyla yaklaşılmıştır. Yapay zeka sistemlerinin, eğitim verilerinde mevcut olan insan önyargılarına dayalı sonuçlar üretme potansiyeline sahip olduğu ve bu nedenle bu modellerin, önemli güven sorunları yaratabilecekleri de vurgulanmaktadır. Böylesi olumsuz durumlara müdahale etmek için araştırmada, yorumlanabilirlik sağlayan Açıklanabilir Yapay Zeka tekniklerinin yanı sıra Onay Önyargısı ve Otomasyon Önyargısı gibi bilişsel önyargıları en aza indirmek için Kullanıcı Arayüzü/Kullanıcı Deneyimi tasarım sistemleri de ele alınmıştır. Araştırma, yapay zekanın statik çıktı üretmenin yanı sıra dinamik, uyarlanabilir ve rejeneratif peyzaj sistemlerinin tasarımında etken bir rol oynamayı içerdiği Pekiştirmeli Öğrenme ve Dünya Modelleri gibi daha sofistike kavramları tartışmaya açmıştır.

Anahtar Kelimeler

G.A.R.D.E.N. tekniği , üretken yapay zeka , peyzaj mimarlığı , senaryo üretimi

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