Incorporating characteristics of human creativity into an evolutionary art algorithm
SR DiPaola, L Gabora - Proceedings of the 9th annual conference …, 2007 - dl.acm.org
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 …
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 …
Incorporating characteristics of human creativity into an evolutionary art algorithm
L Gabora - 2009 - open.library.ubc.ca
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 …
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 …
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