Chuan-Kang Ting, National Chung Cheng University, Taiwan
Francisco Fernández de Vega, University of Extremadura, Spain
Task Force Members
Ying-ping Chen, National Chiao Tung University, Taiwan
Carlos Cotta, Universiy of Malaga, Spain
Palle Dahlstedt, University of Gothenburg, Sweden
Alan Dorin, Centre for Electronic Media Art, Australia
Carlos Fernandes, Technical University of Lisbon, Portugal
Antonio J. Fernández Leiva, University of Málaga, Spain
Pablo Gervás, Complutense University of Madrid, Spain
Amy K. Hoover, University of Malta, Malta
Dapeng Liu, Gradient X, Canada
Penousal Machado, University of Coimbra, Portugal
Jon McCormack, Monash University, Australia
Eduardo Miranda, University of Plymouth, UK
Gustavo Olague, CICESE Research Center, Mexico
Yew Soon Ong, Nanyang Technological University, Singapore
Daniel Thalman, Nanyang Technological University, Singapore
Julian Togelius, IT University of Copenhagen, Denmark
Tatsuo Unemi, Soka University, Japan
Kevin Wong, Murdoch University, Australia
Creativity and Intelligence are both terms that have been deeply studied for centuries but still generate debates. Scholars frequently relate both terms, establishing connections that allows to understand the relationship between general intelligence and creativity. Both are considered required for addressing challenging problems, and also for creating art or appealing designs. Music, Literature, Architecture, Painting, Crafts, Industrial Design,... all could benefit from a better understanding and conceptualization of the processes behind Creativity and Intelligence. Although computers have exceeded the capabilities of humans in a number of limited domains, human creativity generally remains unchallenged, and only recently some techniques, such as Computational Intelligence, have begun to address problems related to creativity. Computational Intelligence (CI) is a term that embodies a number of nature-inspired techniques. CI includes Evolutionary Computation, Neural Networks, Fuzzy logic Systems and other techniques derived from them, such as Swarm Optimization, Artificial Immune Systems, Ant Colony Optimization to name but a few. CI is routinely applied nowadays to solving complex real life problems. Despite the great variety of methods and applications, only very recently, researchers have considered the capabilities of CI when applied to creative processes. Nevertheless, the finding of a general model for creativity and its relationship with Intelligence is far to be found.
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.
- Special Session on Evolutionary Computation for Music, Art, and Creativity at CEC 2017 (organized by Francisco Fernandéz de Vega and and Chuan-Kang Ting)
- Special Session on Computational Intelligence for Music, Art, and Creativity at WCCI 2016 (organized by Chuan-Kang Ting, Tatiana Tambouratzis, Francisco Fernández de Vega, Stefanos Kollias, Palle Dahlstedt, and Aggelos Pikrakis)
- Special Session on Evolutionary Computation for Music, Art, and Creativity at CEC 2015 (organized by Francisco Fernandéz de Vega, Palle Dahlstedt, and Chuan-Kang Ting)
- Special issue on Creative Intelligence for Evolutionary Intelligence journal (organized by Francisco Fernandéz de Vega, Palle Dahlstedt, and Chuan-Kang Ting )
- Special Session on Evolutionary Computation for Music, Art, and Creativity at WCCI 2014 (organized by Chuan-Kang Ting, Francisco Fernandéz de Vega, and Palle Dahlstedt)
- Special Session on Evolutionary Computation for Creative Intelligence at CEC 2013 (organized by Francisco Fernandéz de Vega and Chuan-Kang Ting)
- IEEE Symposium on Computational Intelligence for Creativity(CIC 2013) at SSCI 2013 (organized by Chuan-Kang Ting, Francisco Fernandéz de Vega, and Palle Dahlstedt)
- Special issue on Evolutionary Music for Soft Computing journal (organized by Francisco Fernandéz de Vega, Carlos Cotta, and Eduardo R. Miranda)
- Special Session on Evolutionary Computation for Creative Intelligence at WCCI 2012 (organized by Chuan-Kang Ting, Francisco Fernandéz de Vega, and Palle Dahlstedt)
- Workshop in Evolutionary Music at CEC 2011 (organized by Francisco Fernandéz de Vega and Carlos Cotta)
Some efforts have been developed in the last decades trying to connect creativity (mainly art) and some techniques under the CI umbrella. Although some books have been published, they usually focus on a specific topic, such as design or music (check for instance Evolutionary Design, Morgan Kaufmann, or Evolutionary Computer Music, Springer). EvoMusart is probably the best known Workshop dealing with art, music and Evolutionary Algorithms.
This Task Force will coordinate efforts in a wider scope, including researchers around the world, and leading the research towards a better understanding of creativity and its connection to both problem solving and ascetics, with applications to art and problem solving.