- Library Home /
- Search Collections /
- Open Collections /
- Browse Collections /
- UBC Faculty Research and Publications /
- Incorporating characteristics of human creativity into...
Open Collections
UBC Faculty Research and Publications
Incorporating characteristics of human creativity into an evolutionary art algorithm Gabora, Liane
Abstract
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.
Item Metadata
Title |
Incorporating characteristics of human creativity into an evolutionary art algorithm
|
Creator | |
Publisher |
Springer Verlag
|
Date Issued |
2009-06
|
Description |
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.
|
Subject | |
Genre | |
Type | |
Language |
eng
|
Date Available |
2018-01-19
|
Provider |
Vancouver : University of British Columbia Library
|
Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
|
DOI |
10.14288/1.0363107
|
URI | |
Affiliation | |
Citation |
DiPaola, S., & Gabora, L. (2009). Incorporating characteristics of human creativity into an evolutionary art algorithm. Genetic Programming and Evolvable Machines, 10(2), 97-110.
|
Publisher DOI |
10.1007/s10710-008-9074-x
|
Peer Review Status |
Reviewed
|
Scholarly Level |
Faculty
|
Rights URI | |
Aggregated Source Repository |
DSpace
|
Item Media
Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International