DocumentCode
412539
Title
Developmental mappings and phenotypic complexity
Author
Lehre, Per Kristian ; Haddow, Pauline C.
Author_Institution
Dept. of Comput. & Inf. Sci., Norwegian Univ. of Sci. & Technol., Trondheim, Norway
Volume
1
fYear
2003
fDate
8-12 Dec. 2003
Firstpage
62
Abstract
The effect of phenotypic complexity on distance correlation plots is investigated for two developmental mappings, a mapping based on L-systems, and a 2D cellular automata mapping. Our treatment of complexity is based on the theory of Kolmogorov complexity. A new genotype sampling algorithm called cross section walk is introduced.
Keywords
artificial life; cellular automata; computational complexity; evolutionary computation; 2D cellular automata mapping; Kolmogorov complexity; L-systems; cross section walk; developmental mappings; distance correlation plots; genotype sampling algorithm; phenotypic complexity; Artificial neural networks; Biological information theory; Embryo; Encoding; Evolutionary computation; Hardware; Information science; Organisms; Sampling methods; Scalability;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2003. CEC '03. The 2003 Congress on
Print_ISBN
0-7803-7804-0
Type
conf
DOI
10.1109/CEC.2003.1299557
Filename
1299557
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