Information Technology Reference
In-Depth Information
Cuccu, G., Luciw, M., Schmidhuber, J., & Gomez, F. (2011). Intrinsically motivated evolutionary
search for vision-based reinforcement learning. In
Proceedings of the 2011 IEEE conference
on development and learning and epigenetic robotics IEEE-ICDL-EPIROB
. New York: IEEE
Press.
Danto, A. (1981).
The transfiguration of the commonplace
. Cambridge: Harvard University Press.
Dutton, D. (2002). Aesthetic universals. In B. Gaut & D. M. Lopes (Eds.),
The Routledge compan-
ion to aesthetics
.
Frank, H. G. (1964).
Kybernetische Analysen subjektiver Sachverhalte
. Quickborn: Verlag
Schnelle.
Frank, H. G., & Franke, H. W. (2002).
Ästhetische Information. Estetika informacio. Eine Ein-
führung in die kybernetische Ästhetik
. Kopäd Verlag.
Franke, H. W. (1979).
Kybernetische Ästhetik. Phänomen kunst
(3rd ed.). Munich: Ernst Reinhardt
Ve r l a g .
Goodman, N. (1968).
Languages of art: an approach to a theory of symbols
. Indianapolis: The
Bobbs-Merrill Company.
Harlow, H. F., Harlow, M. K., & Meyer, D. R. (1950). Novelty and curiosity as determinants of
exploratory behavior.
Journal of Experimental Psychology
,
41
, 68-80.
Huffman, D. A. (1952). A method for construction of minimum-redundancy codes.
Proceedings
IRE
,
40
, 1098-1101.
Hutter, M. (2005).
Universal artificial intelligence: sequential decisions based on algorithmic
probability
. Berlin: Springer. On J. Schmidhuber's SNF grant 20-61847.
Kaelbling, L. P., Littman, M. L., & Moore, A. W. (1996). Reinforcement learning: a survey.
Journal
of AI research
,
4
, 237-285.
Kant, I. (1781).
Critik der reinen Vernunft
.
Kolmogorov, A. N. (1965). Three approaches to the quantitative definition of information.
Prob-
lems of Information Transmission
,
1
, 1-11.
Levin, L. A. (1973). Universal sequential search problems.
Problems of Information Transmission
,
9
(3), 265-266.
Li, M., & Vitányi, P. M. B. (1997).
An introduction to Kolmogorov complexity and its applications
(2nd ed.). Berlin: Springer.
Luciw, M., Graziano, V., Ring, M., & Schmidhuber, J. (2011). Artificial curiosity with planning for
autonomous perceptual and cognitive development. In
Proceedings of the first joint conference
on development learning and on epigenetic robotics ICDL-EPIROB
, Frankfurt.
Mandelbrot, B. (1982).
The fractal geometry of nature
. San Francisco: Freeman.
Moles, A. (1968).
Information theory and esthetic perception
. Champaign: University of Illinois
Press.
Nake, F. (1974).
Ästhetik als Informationsverarbeitung
. Berlin: Springer.
Ngo, H., Ring, M., & Schmidhuber, J. (2011). Compression Progress-based curiosity drive for de-
velopmental learning. In
Proceedings of the 2011 IEEE conference on development and learning
and epigenetic robotics IEEE-ICDL-EPIROB
. New York: IEEE Press.
Piaget, J. (1955).
The child's construction of reality
. London: Routledge and Kegan Paul.
Rissanen, J. (1978). Modeling by shortest data description.
Automatica
,
14
, 465-471.
Schaul, T., Pape, L., Glasmachers, T., Graziano, V., & Schmidhuber, J. (2011a). Coherence
progress: a measure of interestingness based on fixed compressors. In
Fourth conference on
artificial general intelligence (AGI)
.
Schaul, T., Sun, Y., Wierstra, D., Gomez, F., & Schmidhuber, J. (2011b). Curiosity-driven opti-
mization. In
IEEE congress on evolutionary computation (CEC)
, New Orleans, USA.
Schmidhuber, J. (1991a). Curious model-building control systems. In
Proceedings of the interna-
tional joint conference on neural networks
, Singapore (Vol. 2, pp. 1458-1463). New York: IEEE
Press.
Schmidhuber, J. (1991b). A possibility for implementing curiosity and boredom in model-building
neural controllers. In J. A. Meyer & S. W. Wilson (Eds.),
Proc. of the international conference
on simulation of adaptive behavior: from animals to animats
(pp. 222-227). Cambridge: MIT
Press/Bradford Books.
