David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jonathan Jenkins Ichikawa
Jack Alan Reynolds
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Minds and Machines 17 (1):67-99 (2007)
Over recent decades there has been a growing interest in the question of whether computer programs are capable of genuinely creative activity. Although this notion can be explored as a purely philosophical debate, an alternative perspective is to consider what aspects of the behaviour of a program might be noted or measured in order to arrive at an empirically supported judgement that creativity has occurred. We sketch out, in general abstract terms, what goes on when a potentially creative program is constructed and run, and list some of the relationships (for example, between input and output) which might contribute to a decision about creativity. Specifically, we list a number of criteria which might indicate interesting properties of a program’s behaviour, from the perspective of possible creativity. We go on to review some ways in which these criteria have been applied to actual implementations, and some possible improvements to this way of assessing creativity
|Keywords||AI methodology Assessing output Computational creativity Empirical criteria Generating artefacts|
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Citations of this work BETA
Kyle Jennings (2010). Developing Creativity: Artificial Barriers in Artificial Intelligence. [REVIEW] Minds and Machines 20 (4):489-501.
Federico Peinado, Virginia Francisco, Raquel Hervás & Pablo Gervás (2010). Assessing the Novelty of Computer-Generated Narratives Using Empirical Metrics. Minds and Machines 20 (4):565-588.
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