David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
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|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
Hubert L. Dreyfus (1972). What Computers Can't Do. Harper and Row.
Gilles Fauconnier & Mark Turner (1998). Conceptual Integration Networks. Cognitive Science 22 (2):133-187.
Alan Bundy (1994). What is the Difference Between Real Creativity and Mere Novelty? Behavioral and Brain Sciences 17 (3):533-534.
Kim Binsted, Helen Pain & Graeme D. Ritchie (1997). Children's Evaluation of Computer-Generated Punning Riddles. Pragmatics and Cognitionpragmatics and Cognition 5 (2):305-354.
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.
Similar books and articles
Peter Carruthers (2011). Creative Action in Mind. Philosophical Psychology 24 (4):437 - 461.
Lars Geer Hammershøj (2009). Creativity as a Question of Bildung. Journal of Philosophy of Education 43 (4):545-558.
René Víctor Valqui Vidal (2013). To Be Human is to Be Creative. AI and Society 28 (2):237-248.
Simone Burg & Ibo Poel (2005). Teaching Ethics and Technology with Agora, an Electronic Tool. Science and Engineering Ethics 11 (2):277-297.
Timothy R. Colburn (1991). Program Verification, Defeasible Reasoning, and Two Views of Computer Science. Minds and Machines 1 (1):97-116.
Edward Yalow (1977). Yaq: A 360 Assembler Version of the Algorithm Aq and Comparison with Other Pl/I Programs. Department of Computer Science, University of Illinois at Urbana-Champaign.
Maria Kronfeldner (2009). Creativity Naturalized. Philosophical Quarterly 59 (237):577-592.
Y. J. Erden (2010). Could a Created Being Ever Be Creative? Some Philosophical Remarks on Creativity and AI Development. Minds and Machines 20 (3):349-362.
Added to index2009-01-28
Total downloads53 ( #63,130 of 1,725,153 )
Recent downloads (6 months)6 ( #110,393 of 1,725,153 )
How can I increase my downloads?