Computational Creativity, Measurement and Evaluation

Taylor & Francis :: Connection Science

Over the last few decades, computational creativity has attracted an increasing number of researchers from both arts and science backgrounds.  Philosophers, cognitive psychologists, computer scientists and artists have all contributed to and enriched the literature.

Many argue a machine is creative if it simulates or replicates human creativity (e.g. evaluation of AI systems via a Turing-style test), while others have conceived of computational creativity as an inherently different discipline, where computer generated (art)work should not be judged on the same terms, i.e. as being necessarily producible by a human artist, or having similar attributes, etc.

The special issue would be a continuum of the symposium which was aimed at bringing together researchers to discuss recent technical and philosophical developments in the field, and the impact of this research on the future of our relationship with computers and the way we perceive them: at the individual level where we interact with the machines, the social level where we interact with each other via computers, or even with machines interacting with each other.

The symposium featured a number of presentations covering a range of topics in the evolving field of Computational Creativity.  Issues addressed will include evolution of works in the field of computational creativity, practical and theoretical approaches to creativity, and philosophical questions raised on the potential of non-human “creative” agents.

Topics of interest for this symposium included, but were not limited to: novel systems and theories in computational creativity, in any domain (e.g. drawing and painting, music, story telling, poetry, games, etc); the evaluation of computational creative systems, processes and artefacts; theory of computational aesthetics; representational issues in creativity, including visual and perceptual representations; social aspects of computational creativity, and intellectual property issues; creative autonomy and constraint; computational appreciation of artefacts, including human artworks.