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Talk | reboot9

Human lessons from generative art

Generative art proposes a computational model of creativity, where the artist externalizes aesthetic principles and encodes them as a software system. In so doing, the system becomes the expression of all possible outcomes, available to be "farmed" by the artist or shown as an infinite sequence.

  • rbt-CTMIll-0067.jpg

    rbt-CTMIll-0067.jpg -

    Illuminations B, image 0067. Vector image produced by generative software.

In manual arts such as drawing or sculpting with clay, creation is typically seen as a transparent process: The work "flows" directly from the artist, with only a minimum of tools between her and her creation.

In contrast, generative art proposes a computational model of creativity, where the artist externalizes aesthetic principles and encodes them as a software system. In so doing, the system becomes the expression of all possible outcomes, available to be "farmed" by the artist or shown as an infinite sequence.

Generative systems are an appropriate response to digital media, where everything is software and potentially programmable. By embracing semi-automated creation, new expressions become possible, using principles of complexity and emergence to arrive at new forms.

  • rbt-RP-039.jpg

    rbt-RP-039.jpg -

    Object #1, produced from generative model using rapid prototyping