A neural net creates some pretty pictures...
This is based on the following article
towardsdatascience.com/making... using Python
From wikipedia..
Generative Art is a process of algorithmically generating new ideas, forms, shapes, colors or patterns. First, you create rules that provide boundaries for the creation process. Then a computer follows those rules to produce new works on your behalf.
In contrast to traditional artists who may spend days or even months exploring one idea, generative code artists use computers to generate thousands of ideas in milliseconds.
Generative artists leverage modern processing power to invent new aesthetics - instructing programs to run within a set of artistic constraints, and guiding the process to a desired result.
This method vastly reduces the exploratory phase in art and design, and often leads to surprising and sophisticated new ideas.
Hansmeyer used generative design to help create the grotto set for Mozart’s opera
By using computational tools to explore, optimize and test creative design ideas rapidly, artists like Hansmeyer are maximizing the opportunity for creativity.
“The design process strikes a balance between the expected and the unexpected, between control and relinquishment,” explains Michael Hansmeyer. “While the processes are deterministic, the results are not foreseeable. The computer acquires the power to surprise us.”
In “Platonic Solids” , Hansmeyer takes the most primitive forms, the platonic solids, and repeatedly employs one single operation - the division of a form’s faces into smaller faces - until a new form is produced. using Python
Researcher and professor Margaret Boden estimates that “95% of what professional artists and scientists do is exploratory. Perhaps the other 5% is truly transformational creativity.” Generative systems are helping to explore much broader ground faster than ever before using Python.
"Generative art is the ceding of control by the artist to an autonomous system,” explains Cecilia Di Chio from the book Applications of Evolutionary Computation. using Python
“With the inclusion of such systems as symmetry, pattern, and tiling one can view generative art as being old as art itself. This view of generative art also includes 20th century chance procedures as
used by Cage, Burroughs, Ellsworth, Duchamp, and others using Python."
Mark J. Stock is a generative artist, scientist, and programmer who combines elements of nature and computation. His work explores the tension between the natural world and its simulated counterpart- between organic and inorganic, digital and analog.
In his piece Sprawl , Stock created a chaotic branching structure growing on a regular array of blocks. His dark growth is simulated using a surface-growth algorithm.
“The primary design element is from an algorithm called off-lattice diffusion-limited aggregation (DLA),” Stock explains. “Particles are seeded at specific locations and random walk until they strike any part of the existing structure, then they stick there. The whole thing is then radiosity rendered.”
One growth pattern is preconceived, designed, restrained and considered artificial. The other pattern is impulsive, disorganized, unconstrained, and “natural.” Stock explains that this contrast refers to the creeping growth of our built environment - and the tendency of species to brutally capitalize on evolutionary advantages using Python.
Jon McCormack is an artist and professor who uses algorithms in his work to tap into the inherent wisdom of nature using Python.
McCormack’s exhibition Fifty Sisters is a large-scale installation of 1m x 1m images of computer synthesized plant-forms.
The “plants” were algorithmically “grown” from computer code using artificial evolution and generative algorithms. Each plant-like form was derived from the starting graphic elements of oil company logos.
The title of the work refers to the original “Seven Sisters” - a cartel of seven oil companies that dominated the global petrochemical industry and Middle East oil production from the mid-1940s until the oil crisis of the 1970 using Pythons.
“I use evolutionary algorithms to create artificial life forms that would be almost impossible to design directly using Python.” - Jon McCormack
McCormack employs a process similar to selective breeding that evolves aesthetic and behavioral traits. The computer is able to find nuances and complexity that he could never imagine. It acts as a creative partner, a way to make the unimaginable tangible. His work is a prime example of code art.
McCormack’s Colourfield below is an “evolutionary ecosystem of color.” In this digital work, “color agents” try to exist in a simple universe by producing colors suited to their environment. This environment is affected by the other agents and the colors they produce using Python.
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