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Dahlstedt, P. (2009a). Ideas and tools in material space—an extended spatial model of creativity. In
M. Boden, M. d'Inverno & J. McCormack (Eds.),
Dagstuhl seminar proceedings: Vol. 09291
.
Computational creativity: an interdisciplinary approach
. Dagstuhl: Schloss Dagstuhl—
Leibniz-Zentrum fuer Informatik.
http://drops.dagstuhl.de/opus/volltexte/2009/2198
.
Dahlstedt, P. (2009b). Thoughts on creative evolution: a meta-generative approach to composition.
Contemporary Music Review
,
28
(1), 43-55.
Dahlstedt, P. (2012). Ossia II: autonomous evolution of complete piano pieces and performances.
In
A-Life for music:music and computer models of living systems
. Middleton: A-R Editions.
Denton, R. (2004). The atheism tapes: Jonathan Miller in conversation (TV program), episode 6,
interview with Daniel Dennet. London: BBC, TV program.
Ebcioglu, K. (1988). An expert system for harmonising four-part chorales.
Computer Music Jour-
nal
,
12
(3), 43-51.
Gabora, L. (2005). Creative thought as a non-Darwinian evolutionary process.
Journal of Creative
Behavior
,
39
(4), 65-87.
Gibson, J. (1977). The theory of affordances. In R. Shaw & J. Bransford (Eds.),
Perceiving, acting
and knowing
, Hillsdale: Erlbaum.
Gregory, R. L. (1981).
Mind in science
. London: Weidenfeld and Nicolson.
Harrison, A. (1978).
Making and thinking
. Harvester Press.
Hofstadter, D. (1985). Variations on a theme as the crux of creativity. In
Metamagical themas
.New
York: Basic Books.
Hofstadter, D., & The Fluid Analogies Research Group (1995).
Fluid concepts and creative analo-
gies: computer models of the fundamental mechanisms of thought
. New York: Basic Books.
Jacob, B. (1996). Algorithmic composition as a model of creativity.
Organised Sound
,
1
(3), 157-
165.
Karmiloff-Smith, A. (1994). Beyond modularity: a developmental perspective on cognitive sci-
ence.
Behavioral and Brain Sciences
,
17
(4), 693-745.
Klein, G., & Ödman, M. (Eds.) (2003).
Om kreativitet och flow
.Bromberg.
Konecni, V. J. (1991). Portraiture: an experimental study of the creative process.
Leonardo
,
24
(3).
Lenat, D. (1983). Eurisko: a program that learns new heuristics and domain concepts.
Artificial
Intelligence
,
21
, 61-98.
Lindsay, R. K., Buchanan, B. G., Feigenbaum, E. A., & Lederberg, J. (1980).
Applications of
artificial intelligence for organic chemistry: the DENDRAL project
. New York: McGraw-Hill.
McCorduck, P. (1990).
AARON'S CODE: meta-art, artificial intelligence, and the work of Harold
Cohen
. New York: Freeman.
McCormack, J. (2005). Open problems in evolutionary music and art. In F. Rothlauf et al. (Eds.),
LNCS: Vol. 3449
.
EvoWorkshops 2005
(pp. 428-436). Berlin: Springer.
Mednick, S. A. (1962). The associative basis of the creative process.
Psychological Review
,
69
(3),
220-232.
Nachmanovitch, S. (1990).
Free play: improvisation in life and art
. New York: Jeremy P. Tarcher/
Penguin-Putnam Publishing.
Norman, D. A. (1988).
The psychology of everyday things
. New York: Basic Books.
Papadopoulos, G., & Wiggins, G. (1999). AI methods for algorithmic composition: a survey, a
critical view and future prospects. In A. Patrizio (Ed.),
Proceedings of the AISB'99 symposium
on musical creativity
, Edinburgh, UK.
Pearce, M., & Wiggins, G. A. (2002). Aspects of a cognitive theory of creativity in musical compo-
sition. In
Proceedings of 2nd international workshop on creative systems, European conference
on artificial intelligence
, Lyon, France.
Sims, K. (1991). Artificial evolution for computer graphics. In
ACM SIGGRAPH '91 conference
proceedings
, Las Vegas, Nevada, July 1991 (pp. 319-328).
Todd, P. M., & Werner, G. M. (1999). Frankensteinian methods for evolutionary music composi-
tion. In N. Griffith & P. M. Todd (Eds.),
Musical networks: parallel distributed perception and
performance
, Cambridge: MIT Press—Bradford Books.
