DocumentCode :
2862113
Title :
Evolution in simple systems and the emergence of complexity
Author :
Schuster, Peter
Author_Institution :
Inst. fur Theor. Chem., Wien Univ., Vienna, Austria
fYear :
2005
fDate :
19-22 Sept. 2005
Firstpage :
33
Lastpage :
37
Abstract :
Evolution, understood as the powerful interplay of reproduction, variation, and selection, represents an excellent tool for optimization in populations of simple and complex entities even under conditions where only limited information is available. The principle underlying this optimization heuristic was discovered and formulated already by Charles Darwin. In biology variation and selection operate on different molecular entities. Variation involves changes of the nucleotide sequence of a deoxyribonucleic acid (DNA) or ribonucleic acid (RNA) molecule called the genotype. Genotypes are strings of nucleotides and can be understood as elements of a discrete space, called sequence space, with the Hamming distance inducing a metric. The phenotype is derived through unfolding of the genotype.
Keywords :
DNA; biology computing; evolution (biological); genetics; molecular biophysics; DNA molecule; Hamming distance; RNA molecule; biological evolution; deoxyribonucleic acid; genotypes; nucleotide sequence; optimization heuristic; ribonucleic acid; Animals; Chemical analysis; Chemical processes; Evolution (biology); Kinetic theory; Mathematical analysis; RNA; Sequences; Space technology; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
Print_ISBN :
0-7695-2416-8
Type :
conf
DOI :
10.1109/IAT.2005.71
Filename :
1565507
Link To Document :
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