Graphics Reference
In-Depth Information
REFERENCES
optimization solutions. In analogical way as in
biological systems, individuals that fit well have
a greater probability of passing their genetic in-
formation onto the next generation. The operators
that control the features of the offspring include
reproduction (representation of individuals, ways
of selecting the candidates for breeding); mutation
(the dynamics of random changes occurring in
genetic information); recombination (the exchange
of genetic information with other successful
individuals to form offspring); the choice of the
representation and the choice of genetic operator
in a particular evolutionary approach.
Bales and Kitzmann (2011) believe, “any
model of communications that displays evolu-
tion (a selection process that acts on variation) is
biologically inspired.” Designers of communi-
cation and coordination models take inspiration
from insects and many other species. Features
such as complexity of animal's behavioral style,
small versus large groups, methods of avoiding
eavesdropping (such as specific color undetectable
to predators, or behavioral tactics (for example,
hiding spot-containing fin except during court-
ship) create challenges for bio-inspired models.
Albers, J. (2010). Interaction of color . Yale Uni-
versity Press. (Original work published 1963).
Association, I. R. (2013). Digital literacy: Con-
cepts, methodologies, tools, and applications (3
vols.). doi: doi:10.4018/978-1-4666-1852-7.
Bales, K. L., & Kitzmann, C. D. (2011). Animal
models for computing and communications. In
Bio-Inspired Computing and Networking . CRS
Press. doi:10.1201/b10781-3.
Cox, D. J. (2008). Using the supercomputer to
visualize higher dimensions: An artist's contribu-
tion to scientific visualization. Leonardo , 41 (4),
390-400. doi:10.1162/leon.2008.41.4.390.
Creswell, J. W. (2008). Research design: Qualita-
tive, quantitative, and mixed methods approaches .
Sage Publications, Inc..
Cruz-Neira, C., Sandin, D. J., DeFanti, T. A.,
Kenyon, R. V., & Hart, J. C. (1992). The CAVE:
Audio visual experience automatic virtual envi-
ronment. Communications of the ACM , 35 (6),
64-72. doi:10.1145/129888.129892.
Hockney, D. (2001). Secret knowledge: Redis-
covering the lost techniques of the old masters .
London: Thames and Hudson.
CONCLUSION
Suitable tools are needed for representing, pro-
cessing, manipulating, and projecting data in a
static or animated way. Tools for translation into
visual or multisensory content may be as simple
as a pencil or involve cutting edge computing
technologies. However, an integrative approach
to creating computer art graphics allows using the
computer not only as a tool but also as a source
of inspiration. A short description of evolution,
first of computer related technologies, and then
of graphical display of the data and methods of
inquiry reflects the growing possibilities offered by
the evolving thought processes and the advanced
technologies.
Lima, M. (2011). Visual complexity: Mapping
patterns of information . New York: Princeton
Architectural Press.
McCall Smith, A. (2010). The unbearable light-
ness of scones . New York: Anchor.
Purchase, H. C., Plimmer, B., Baker, R., &
Pilcher, C. (2010). Graph drawing aesthetics in
user-sketched graph layouts. In Conferences in
Research and Practice in Information Technology
(CRPIT) . Brisbane, Australia: CRPIT.
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