Information Technology Reference
In-Depth Information
Taylor, R. P. (2006).
Chaos, fractals, nature: a new look at Jackson Pollock
. Eugene: Fractals
Research.
Todd, P. M. (1989). A connectionist approach to algorithmic composition.
Computer Music Jour-
nal
,
13
(4), 27-43.
Todd, P., & Werner, G. (1998). Frankensteinian methods for evolutionary music composition. In N.
Griffith & P. Todd (Eds.),
Musical networks: parallel distributed perception and performance
.
Cambridge: MIT Press/Bradford Books.
Todd, S., & Latham, W. (1992).
Evolutionary art and computers
. London: Academic Press.
Tsai, H.-C., Hung, C.-Y., & Hung, F.-K. (2007). Automatic product color design using genetic
searching. In
Computer-aided architectural design futures (CAADFutures) 2007
(pp. 513-524).
Berlin: Springer.
Tufte, G., & Gangvik, E. (2008). Transformer #13: exploration and adaptation of evolution ex-
pressed in a dynamic sculpture. In
Applications of evolutionary computing
(pp. 509-514).
Berlin: Springer.
Turing, A. M. (1950). Computing machinery and intelligence.
Mind
,
59
(236), 433-460.
Turing, A. M. (1952). The chemical basis of morphogenesis.
Philosophical transactions—Royal
Society. Biological Sciences
,
237
(641), 37-72.
Urbano, P. (2006) Consensual paintings. In
Lecture notes in computer science: Vol. 3907
.
Evo
workshops
(pp. 622-632).
Verstegen, I. (2007). Rudolf Arnheim's contribution to gestalt psychology.
Psychology of Aesthet-
ics, Creativity, and the Arts
,
1
(1), 8-15.
Von Neumann, J., & Burks, A. W. (1966).
Theory of self-reproducing automata
. Urbana: University
of Illinois Press.
Voss, R. F., & Clarke, J. (1975). 1/F-noise in music and speech.
Nature
,
258
(5533), 317-318.
Watanabe, S. (2009). Pigeons can discriminate “good” and “bad” paintings by children.
Animal
Cognition
,
13
(1).
Weinberg, G., Godfrey, M., Rae, A., & Rhoads, J. (2009). A real-time genetic algorithm in human-
robot musical improvisation. In
Computer music modeling and retrieval. Sense of sounds
(pp.
351-359). Berlin: Springer.
Wertheimer, M. (2007). Rudolf Arnheim: an elegant artistic gestalt.
Psychology of Aesthetics, Cre-
ativity, and the Arts
,
1
(1), 6-7.
Whitelaw, M. (2003). Morphogenetics: generative processes in the work of driessens and verstap-
pen.
Digital Creativity
,
14
(1), 43-53.
Whitfield, T. W. A. (2000). Beyond prototypicality: toward a categorical-motivation model of aes-
thetics.
Empirical Studies of the Arts
,
18
(1), 1-11.
Wilson, D. J. (1939). An experimental investigation of Birkhoff's aesthetic measure.
The Journal
of Abnormal and Social Psychology
,
34
(3), 390-394.
Wu, Y.-F., & Chien, S.-F. (2005).
Enemy character design in computer games using generative
approach
. Generative Design Lab, Milan Polytechnic.
Yao, X., & Higuchi, T. (1997). Promises and challenges of evolvable hardware. In T. Higuchi (Ed.),
Evolvable systems: from biology to hardware
(Vol. 1259, pp. 55-78). Berlin: Springer.
Yee-King, M. (2007). An automated music improviser using a genetic algorithm driven synthesis
engine. In M. Giacobini (Ed.),
Proceedings of the 2007 EvoWorkshops
(pp. 567-576). Berlin:
Springer.
Yuan, J. (2008). Large population size IGAs with individuals' fitness not assigned by user. In
Lecture notes in computer science
(Vol. 5227, pp. 267-274).
Zipf, G. K. (1949).
Human behavior and the principle of least effort: an introduction to human
ecology
. Cambridge: Addison-Wesley.
