This special session is organized by IEEE CIS ETTC Task Force on Creative Intelligence and extends our previous events at IEEE CIS conferences:
- Special Session on Evolutionary Computation for Music, Art, and Creativity at CEC 2017
- Special Session on Computational Intelligence for Music, Art, and Creativity at WCCI 2016
- Special Session on Evolutionary Computation for Music, Art, and Creativity at CEC 2015
- Special Session on Evolutionary Computation for Music, Art, and Creativity at CEC 2014
- Special Session on Evolutionary Computation for Creative Intelligence at CEC 2013
- IEEE Symposium on Computational Intelligence for Creativity and Affective Computing (CICAC 2013) at SSCI 2013
- Special Session on Evolutionary Computation for Creative Intelligence at CEC 2012
- Workshop in Evolutionary Music at CEC 2011
Aim and Scope
Computational intelligence (CI) techniques, including evolutionary computation, neural networks, and fuzzy systems, have shown to be effective for search, optimization, and machine learning problems. Recently, evolutionary computation and deep neural networks gained several promising results and become important tools in computational creativity, such as in music, visual art, literature, architecture, and industrial design.
The aim of this special session is to reflect the most recent advances of CI for Music, Art, and Creativity, with the goal to enhance autonomous creative systems as well as human creativity. This session will allow researchers to share experiences and present their new ways for taking advantage of CI techniques in computational creativity.
Topics of interest include, but are not limited to, CI technologies in the following aspects:
- Generation of music, visual art, literature, architecture, and industrial design
- Algorithmic design in creative intelligence
- Application of CI to music analysis, classification/clustering, composition, variation and improvisation
- Optimization in creativity
- Development of hardware and software for creative systems
- Evaluation methodologies
- Assistance of human creativity
- Computational aesthetics
- Emotion response
- Human-machine creativity
Paper Submission
- Information on the format and templates for papers can be found at http://www.ieee-wcci.org/
- Papers should be submitted via the IEEE WCCI 2018 paper submission site
- In the "Main Research topic" dropdown list, select [Computational Intelligence for Music, Art, and Creativity]
- Fill out the input fields, upload the PDF file of your paper and finalize your submission by the deadline
Organizers
- Chuan-Kang Ting, National Chung Cheng University, Taiwan
- Francisco Fernández de Vega, University of Extremadura, Spain
Program Committee (provisional)
- Peter Bentley, University College London, UK
- Jonathan Chan, King Mongkut's University of Technology Thonburi, Thailand
- Alan Dorin, Monash University, Australia
- Carlos Fernandes, Technical University of Lisbon, Portugal
- Pablo Gervás, Complutense University of Madrid, Spain
- Anna Jordanous, King's College London, UK
- Oliver Kramer, Carl von Ossietzky Universität, Germany
- Penousal Machado, University of Coimbra, Portugal
- Ruli Manurung, University of Indonesia, Indonesia
- Jon McCormack, Monash University, Australia
- James McDermott, Massachusetts Institute of Technology, USA
- Eduardo Miranda, University of Plymouth, UK
- Yew Soon Ong, Nanyang Technological University, Singapore
- Kevin Wong, Murdoch University, Australia