Title
Interactive Genetic Algorithms for use as Creativity Enhancement Tools
Abstract
It is proposed that creativity can be enhanced through the use of interactive genetic algorithms (IGAs). Diver- gent and convergent thinking are important processes in creativity that we simulate through two separate IGA populations developed by different means. The conver- gent process hones in on specific designs, while the di- vergent process explore design possibilities in a fash- ion beyond pure mutation techniques typically used to introduce population diversity. This study uses Monte Carlo simulation to explore the effect of merging two populations developed by the divergent and convergent methods. The results suggest that population diversity benefits from these population combinations while not adversely affecting the ability of the user to find a goal design. This IGA has also been developed in Adobe Flash so that it can be deployed on the internet to con- duct validation and studies of creativity.
Year
Venue
Keywords
2008
AAAI Spring Symposium: Creative Intelligent Systems
monte carlo simulation
Field
DocType
Citations 
Population,Convergent thinking,Computer science,Population diversity,Artificial intelligence,Creativity,Merge (version control),Genetic algorithm,Machine learning,The Internet
Conference
2
PageRank 
References 
Authors
0.55
4
3
Name
Order
Citations
PageRank
Jarod Kelly120.89
Panos Y. Papalambros2639.97
Colleen M. Seifert34611.73