Abstract
This article explores the relationship and disparities between human and computational creativity by addressing the following questions: How well are computational creativity systems currently performing at creative tasks? Could computers outperform human composers? And, if not, is computational creativity a utopia? Automatic composition systems are examined with respect to Boden’s three criteria of creativity (novelty, surprise and value), as well as their assumptions about the nature of creativity. As an alternative to a competitive relationship between human and computational creativity, the article proposes the concept of a distributed human–computer co-creativity, in which computational creativity extends – rather than replaces – human creativity, by expanding the space of creative possibilities.
Publisher
Cambridge University Press (CUP)
Subject
Computer Science Applications,Music
Reference34 articles.
1. Van den Oord, A. , Dieleman, S. , Zen, H. , Simonyan, K. , Vinyals, O. , Graves, A. , Kalchbrenner, N. , et al. 2016. WaveNet: A Generative Model for Raw Audio. arXiv preprint arXiv:1609.03499.
2. Some Sociological Remarks on Innovation in Music
3. Generative and Adaptive Creativity: A Unified Approach to Creativity in Nature, Humans and Machines
4. The Liberation of Sound
Cited by
14 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献