Name
Abstract | ||
|---|---|---|
In this paper, we explore a generative art system designed to promote the creation of a diverse range of aesthetically pleasing images. We introduce our system, EvoEco, an agent-based pixel-level means of generating images based on artificial ecosystems. This art system is driven by interactive evolutionary computation, and further augmented using special measures to promote the diversity of the individuals. Following previous work, we explore a tractable definition of creativity and its addition to this interactive search. EvoEco was released online, and used by forty-one anonymous users to generate artwork. Here we present some of the discovered results. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ALIFE.2011.5954645 | Artificial Life |
Keywords | Field | DocType |
ecology,evolutionary computation,image processing,interactive systems,natural sciences computing,EvoEco,aesthetically pleasing images,agent-based pixel-level,artificial ecosystemics,interactive electronic art system,interactive evolutionary computation,interactive search,Interactive evolution,artificial ecosystem,computational creativity,electronic art,generative art | Interactive evolution,Interactive evolutionary computation,Computer science,Image processing,Evolutionary computation,Generative art,Artificial intelligence,Creativity,Multimedia,Machine learning,Computational creativity,Interactive search | Conference |
ISSN | ISBN | Citations |
2160-6374 | 978-1-61284-062-8 | 3 |
PageRank | References | Authors |
0.43 | 9 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Taras Kowaliw | 1 | 104 | 10.11 |
| McCormack, J. | 2 | 3 | 0.43 |
| Alan Dorin | 3 | 147 | 21.93 |