Artificial evolution for computer graphics
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
Creative evolutionary systems
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Creative evolutionary systems
Eons of genetically evolved algorithmic images
Creative evolutionary systems
Evolutionary Art and Computers
Evolutionary Art and Computers
Cognitive mechanisms underlying the creative process
C&C '02 Proceedings of the 4th conference on Creativity & cognition
Proceedings of the 5th International Conference on Genetic Algorithms
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EuroGP '01 Proceedings of the 4th European Conference on Genetic Programming
ICES'05 Proceedings of the 6th international conference on Evolvable Systems: from Biology to Hardware
Proceedings of the 10th annual conference companion on Genetic and evolutionary computation
A painterly rendering based on stroke profile and database
Computational Aesthetics'09 Proceedings of the Fifth Eurographics conference on Computational Aesthetics in Graphics, Visualization and Imaging
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A perceived limitation of evolutionary art and design algorithms is that they rely on human intervention; the artist selects the most aesthetically pleasing variants of one generation to produce the next. This paper discusses how computer generated art and design can become more creatively human-like with respect to both process and outcome. As an example of a step in this direction, we present an algorithm that overcomes the above limitation by employing an automatic fitness function. The goal is to evolve abstract portraits of Darwin, using our 2nd generation fitness function which rewards genomes that not just produce a likeness of Darwin but exhibit certain strategies characteristic of human artists. We note that in human creativity, change is less choosing amongst randomly generated variants and more capitalizing on the associative structure of a conceptual network to hone in on a vision. We discuss how to achieve this fluidity algorithmically.