Generative art is a type of art that is created using algorithms and computer programs. These programs generate visual patterns, shapes, and forms that are often based on mathematical equations or natural phenomena.

Harold Cohen is considered a pioneer of generative art for his work with the computer program AARON, which he developed in the 1960s. AARON is capable of generating unique and complex drawings and paintings based on a set of rules and parameters.

Algorithmic art refers to the process of creating art using computer algorithms. These algorithms generate visual patterns, shapes, and forms based on mathematical equations, rules, or data.

Fractal art is a type of generative art that uses natural phenomena as inspiration. Fractals are geometric patterns that repeat themselves at different scales, creating intricate and visually appealing images.

Evolutionary art is a type of generative art that evolves over time. It uses algorithms inspired by evolutionary processes, such as natural selection and genetic mutation, to create dynamic and ever-changing artworks.

Rafael Lozano-Hemmer is an artist known for creating interactive generative art installations that respond to audience participation. His works often use sensors, cameras, and other technologies to create immersive and engaging experiences for viewers.

AI art is a type of generative art that uses artificial intelligence (AI) to create artworks. AI algorithms are trained on large datasets of images, videos, or other media to learn patterns and styles. These algorithms can then generate new artworks that are similar to the training data but with unique variations.

Stephen Wolfram is a mathematician and computer scientist known for his work on cellular automata. He is also an artist who has created generative art using cellular automata. His artworks often explore the complex patterns and behaviors that emerge from simple rules.

Stochastic art is a type of generative art that uses randomness or chance as a creative element. Stochastic algorithms generate unpredictable and often surprising results, which can lead to unique and visually interesting artworks.

Karl Sims is an artist and computer scientist known for his work on evolutionary art. He uses evolutionary algorithms to create generative art that evolves over time. His artworks often explore the emergence of complex forms and behaviors from simple rules.

Data art is a type of generative art that uses data as a source of inspiration or material. Data artists often use algorithms to process and visualize data in creative ways, revealing hidden patterns and insights.

Mario Klingemann is an artist known for creating generative art using neural networks. He uses neural networks to generate images, videos, and other artworks that explore the intersection of art and technology.

Live coding art is a type of generative art that is created in real-time. Live coding artists use computer code to generate visual patterns, shapes, and forms that evolve and change over time.

William Latham is an artist known for creating generative art using genetic algorithms. He uses genetic algorithms to evolve digital organisms that generate visual patterns and forms. His artworks often explore the relationship between art, science, and technology.

Co-creative art is a type of generative art that is created through collaboration between humans and machines. Co-creative artists use computer algorithms and other technologies to generate visual patterns, shapes, and forms that are influenced by human input and interaction.