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[ 8 , 38 , 41 , 48 ]. A successful outcome in this respect will not only yield a useful tool
in computational creativity and artificial general intelligence, but also form a plat-
form to explore further questions as to the nature of consciousness, and its interaction
with creativity in humans and machines.
Acknowledgments We gratefully acknowledge the contribution of our colleagues in the Intelligent
Sound and Music Systems group at Goldsmiths, University of London and in the Computational
Creativity Lab at QueenMary University of London. In particular, we are grateful toMarcus Pearce,
whosework onmusical expectation originally inspired the current thinking, and toKat Agres, Sascha
Griffiths and Matt Purver for their insightful comments. Previous work on IDyOM (Sect. 7.3.1 )was
funded by EPSRC studentship number 00303840 to Marcus Pearce, and EPSRC research grants
GR/S82220 and EP/H01294X to Marcus Pearce and the first author. The current work was funded
by two project grants from the European Union Framework Programme 7, Lrn2Cre8 and ConCreTe.
The projects ConCreTe and Lrn2Cre8 acknowledge the financial support of the Future and Emerging
Technologies (FET) programme within the Seventh Framework Programme for Research of the
European Commission, under FET grants number 611733 and 610859 respectively.
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