Abstract
Computational creativity, a relatively new sub-field of artificial intelligence (AI), focuses on making machines perform tasks or produce objects that would be deemed creative by human standards. Also relevant are the methods through which this can be achieved. The field is particularly relevent today when AI has already achieved numerous milestones in tasks that were once considered doable by only humans. The most prominent example may be the defeat in 1997 of world chess champion at the time, Garry Kasparov by IBM’s Deep Blue supercomputer in a 6-game match held under tournament conditions. The roots of computational creativity, however, stem not only from AI but also psychology and philosophy. Some philosophers, for example, have had issues with the very idea that computers could in any way be as creative as a human, if at all; much less that they could possibly exceed the creative capacity of a human being. Regardless, the experimental evidence emerging from computational creativity strongly suggest otherwise. In this chapter, we briefly introduce the field to readers and outline the material in the chapters that follow.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Apter MJ (1977) Can computers be programmed to appreciate art? Leonardo, pp 17–21
Boden MA (2009) Computer models of creativity. AI Mag 30(3):23
Colton S (2008) Creativity versus the perception of creativity in computational systems. In: AAAI spring symposium: creative intelligent systems pp 14–20
Didierjea A, Gobet F (2008) Sherlock Holmes—an expert’s view of expertise. Br J Psychol 99(1):109–125
Johnson CG (2012) The creative computer as romantic hero? computational creativity systems and creative personae. In: Proceedings of the third international conference on computational creativity, pp 57–61
Pease A, Colton S, Ramezani R, Charnley J, Reed K (2013) A discussion on serendipity in creative systems. In: Proceedings of the fourth international conference on computational creativity, p 64
Ritchie G (2007) Some empirical criteria for attributing creativity to a computer program. Mind Mach 17(1):67–99
Sibley F (1959) Aesthetic concepts. Philos Rev, pp 421–450
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2016 The Author(s)
About this chapter
Cite this chapter
Iqbal, A., Guid, M., Colton, S., Krivec, J., Azman, S., Haghighi, B. (2016). Introduction. In: The Digital Synaptic Neural Substrate. SpringerBriefs in Cognitive Computation, vol 3. Springer, Cham. https://doi.org/10.1007/978-3-319-28079-0_1
Download citation
DOI: https://doi.org/10.1007/978-3-319-28079-0_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-28078-3
Online ISBN: 978-3-319-28079-0
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)