Algorithmic Aesthetics in Digital Art

Algorithms have become not only a technical tool in contemporary art, but also a creative environment where aesthetic decisions are made. This study aims to examine how algorithms establish an aesthetic language in artistic production processes and how this language differs from traditional art practices. The fundamental goal is to reveal how artistic expression is redefined through the interaction between human intuition and computational processes.

Purpose

In this context, historical and contemporary examples in the field of generative art will first be analyzed. A wide range of topics will be covered, from rule-based systems to algorithms involving randomness, and from data-driven production to AI-supported artistic practices. Through these examples, the extent to which aesthetic decisions are determined by the artist and the extent to which they are delegated to algorithmic processes will be discussed.

In the second phase of the study, the relationship between code, randomness, and form will be addressed experimentally. The potential of algorithms to produce unpredictable results despite operating within specific rules will be evaluated in terms of artistic expression. The role of code as a language of production will be examined through the transformation processes between mathematical structures and visual/auditory forms; the concepts of repetition, variation, and uncertainty will be addressed in an aesthetic context.