Architectural Design Method Suggestion with Machine Learning Technologies Based on Voronoi Diagram Principle

Abstract

Today, computer and new art themes are important resources that can reflect its own logic to architectural design inputs and architectural products by opening new horizons in architectural concepts. The fact that art, and therefore architecture, has started to benefit from digital technologies that change the boundaries of life and can be produced with digital media tools, creates a new conceptual discussion and application environment open to development, transformation and experimentation. In the literature, many theories have been produced on the development of digital art, architecture and technology. However, studies should be conducted on the effective/possible methods in architectural design such as digital technologies and digital arts, interactive/text-based artificial intelligence interfaces, and how these methods will transform and change architectural design and architectural identity. With the creation of the architectural form through text-based artificial intelligence interfaces, a new design and production process is envisaged for the discipline of architecture with its possibilities such as autonomous and rapid alternative generation according to various contexts. In this study, architectural plan and form experiments were carried out with the principle of Voronoi diagram, which is a productive and algorithmic system with text-based artificial intelligence interfaces. In this context, it would not be wrong to say that the Voronoi diagram is fractal representations for the resulting products obtained in a fast and autonomous process with multiple alternatives. Architecture, which is in a constant transformation depending on time, technologies and users, will seek a new aesthetic with new production and expression techniques.