![]() This system uses a "generator" to create new images and a "discriminator" to decide which created images are considered successful. Generative adversarial networks (GANs) were designed in 2014. Įxample of image made with VQGAN+CLIP (NightCafe Studio) Cohen designed AARON to paint using special brushes and dyes that were chosen by the program itself without mediation from Cohen. Throughout the years, he also began to develop a way for AARON to also paint. Cohen would later finish the drawings by painting them. ![]() In its primitive form, AARON created simple black and white drawings. ![]() Cohen developed AARON with the goal of being able to code the act of drawing. AARON is the most notable example of AI art in the era of GOFAI programming because of its use of a symbolic rule-based approach to generate technical images. One of the first significant AI art systems is AARON, developed by Harold Cohen beginning in the late 1960s at the University of California at San Diego. ![]() Many mechanisms for creating AI art have been developed, including procedural "rule-based" generation of images using mathematical patterns, algorithms which simulate brush strokes and other painted effects, and artificial intelligence or deep learning algorithms, such as generative adversarial networks (GANs) and transformers. ![]()
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