This task force aims at promoting the study of Creativity and its connection to Intelligence from the point of view of Computational Intelligence. The task force will promote the study of computational creative discovery by means of CI, with the aim of both enhancing human creativity and also generation of autonomous creative behaviors. Artist creation will be an area of research: we will pay attention to visual art and music composition. We will pursue the application of CI to any branch of Art and Design, included but not limited to Architecture, Painting, Music, Literature, to name but a few.
The task force will also be interested in the study of the underlying mental processes leading to creativity, and their translation to hardware and software implementation.
The task force will be appealing for researchers from a variety of disciplines and backgrounds, with coverage across the arts and sciences, with interest in the application of an interdisciplinary approach.
The scope of this task force include the following topics:
- Contribute to fundamental understanding of artistic creativity.
- Contribute to Computational Intelligence approaches to creativity in humans and machines.
- Develop new CI based methodologies for generation of music, visual art, literature, architecture, and industrial design.
- Develop new methodologies based on evolutionary ecosystems dynamics for creative discovery.
- Develop new methodologies allowing the interaction between human and computer based creativity.
- Studying hardware platforms and software implementation leading to better creative systems.
Chuan-Kang Ting, National Chung Cheng University, Taiwan
Francisco Fernández de Vega, University of Extremadura, Spain
Further information: http://cilab.cs.ccu.edu.tw/ci-tf/