A General Approach to Automatic Programming Using Occam's Razor, Compression, and Self-Inspection
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @InProceedings{galos:2003:gecco,
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author = "Peter Galos and Peter Nordin and Joel Ols{\'e}n and
Kristofer Sund{\'e}n Ringn{\'e}r",
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title = "A General Approach to Automatic Programming Using
{Occam's} Razor, Compression, and Self-Inspection",
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booktitle = "Genetic and Evolutionary Computation -- GECCO-2003",
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editor = "E. Cant{\'u}-Paz and J. A. Foster and K. Deb and
D. Davis and R. Roy and U.-M. O'Reilly and H.-G. Beyer and
R. Standish and G. Kendall and S. Wilson and
M. Harman and J. Wegener and D. Dasgupta and M. A. Potter and
A. C. Schultz and K. Dowsland and N. Jonoska and
J. Miller",
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year = "2003",
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pages = "1806--1807",
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address = "Chicago",
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publisher_address = "Berlin",
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month = "12-16 " # jul,
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volume = "2724",
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series = "LNCS",
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ISBN = "3-540-40603-4",
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publisher = "Springer-Verlag",
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keywords = "genetic algorithms, genetic programming, poster",
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DOI = "doi:10.1007/3-540-45110-2_74",
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abstract = "general method for automatic programming which can be
seen as a generalization of techniques such as genetic
programming and ADATE. The approach builds on the
assumption that data compression can be used as a
metaphor for cognition and intelligence. The
proof-of-concept system is evaluated on sequence
prediction problems. As a starting point, the process
of inferring a general law from a data set is viewed as
an attempt to compress the observed data. From an
artificial intelligence point of view, compression is a
useful way of measuring how deeply the observed data is
understood. If the sequence contains redundancy it
exists a shorter description i.e. the sequence can be
compressed.",
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notes = "GECCO-2003. A joint meeting of the twelfth
International Conference on Genetic Algorithms
(ICGA-2003) and the eighth Annual Genetic Programming
Conference (GP-2003)",
- }
Genetic Programming entries for
Peter Galos
Peter Nordin
Joel Ols\'en
Kristofer Sund\'en Ringn\'er
Citations