Symposium on Computational Approaches to Creativity in Science, Stanford University, March 29-30, 2008
Computational Aesthetics, Lisbon, Portugal, June 18-20, 2008
2nd Design Creativity Workshop, Atlanta, Georgia June 22, 2008
5th International Workshop on Computational Creativity, Madrid, Spain September 17-19, 2008
Although it seems clear that creativity plays an important role in developing intelligent systems, it is less clear how to model, simulate, or evaluate creativity in such systems. In other words, it is often easier to recognize the presence and effect of creativity than to describe or prescribe it. The purpose of this symposium is to explore the synergies between creative cognition and intelligent systems in a cross-disciplinary setting that fosters cooperation both in designing creative systems and in creatively designing systems. This focus on creativity in the context of intelligent systems has the potential for increasing innovation in existing fields of research as well as for defining new fields of study, including
- Artificially Creative Systems: development of new types of intelligent systems that produce or simulate creativity using novel approaches to reasoning, searching, and representing knowledge. These systems may be inspired by human creativity or by the possibilities of artificial systems beyond human capabilities.
- Computational Models of Human Creativity: construct cognitive models of human creativity that can be the basis for computational creativity.
- Intelligent Systems for Supporting Creativity: produce user interfaces, interaction design, decision support, and data modeling techniques that lead to the development of intelligent assistants that support the user in being more creative.
To guide potential participants, the following is a (representative) list of possible topics that could be included in the symposium.
- paradigms for understanding creativity, including heuristic search, analogical reasoning, and re-representation;
- creativity in different disciplines, including design, art, music, and science;
- perspectives on creativity, including models of human behavior, intelligent systems, and creativity-support tools;
- the role of creativity in learning, innovation, improvisation, and other pursuits;
- factors that enhance creativity, including conflict, diversity, knowledge, intuition, reward structures, and technologies
- social aspects of creativity, including the relationship between individual and social creativity, diffusion of ideas, collaboration and creativity, formation of creative teams, and simulating creativity in social settings.
This material is based upon work supported by the National Science Foundation under Grant No. IIS-0746077.
Any opinions, findings and conclusions or recomendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation (NSF).