The Computational Creativity Complex - Computational Creativity Research: Towards Creative Machines - page 87

work of filling in details, exploring possible processes, etc. may again be argued to
be advantage computer for the same reasons cited above. The difficulty of framing
or marketing the result is a more complex consideration, and may be regarded as a
creative act itself: what story to tell, how to write the research paper, how to market
a product, how to explain a piece of art.
4.5 Coda
It is unlikely that the creativity “algorithm” is computable in the strong Turing sense
of decidability. It is somewhat more likely that creativity is weakly Turing computable
in the sense of semi-decidability (recognizability), though there are some non-trivial
hurdles to overcome before this might be demonstrated.
Still, Turing computability is a very strong result, and it is not surprising that a
creativity “algorithm” might resist this level of constraint; indeed, most of human
intelligence, if held to the strict standards of the current theory of computability, is
a failure. That is not to say that efforts at computationally simulating it are failures
but that humans themselves fail to “compute” by such strict standards. Also, it is
certainly true that other uncomputable problems of interest, in many instances, do
yield themselves to computational attacks of varying efficacy, so it is not unreasonable
to expect that similar inroads might be forged into computational creativity.
Of course, there is also the (remote) possibility that in fact all the assumptions
necessary to render creativity strongly computable will prove true, and we will dis-
cover that we can, simply, brute force an “Aha!” moment, no luck required. However,
it is much more likely that this will not prove true. Some have begun to suggest that
our traditional approach to computational complexity is not sufficient for the current
state of the field of computer science [ 44 ], and it seems quite possible that compu-
tational creativity is making that same argument for our idea of what it means to
compute.
References
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Intell. Syst. Technol. 5 (2), 31:1-31:17 (2014)
3. Norton, D., Heath, D., Ventura, D.: Establishing appreciation in a creative system. In: Proceed-
ings of the 1st International Conference on Computational Creativity, pp. 26-35 (2010)
4. Norton, D., Heath, D., Ventura, D.: Autonomously creating quality images. In: Proceedings of
the 2nd International Conference on Computational Creativity, pp. 10-15 (2011)
5. Norton, D., Heath, D., Ventura, D.: Finding creativity in an artificial artist. J. Creat. Behav.
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