In search of an evolutionary coding style
Paper in proceeding, 2000
In the near future, all the human genes will be identified. But understanding the functions coded in the genes is a much harder problem. For example, by using block entropy, one has that the DNA code is closer to a random code then written text, which in turn is less ordered then an ordinary computer code; see [17]. Instead of saying that the DNA is badly written, using our programming standards, we might say that it is written in a different style — an evolutionary style. We will suggest a way to search for such a style in a quantified manner by using an artificial life pro- gram, and by giving a definition of general codes and a definition of style for such codes.
emer- gence
Halstead’s complexity.
DNA
stylometry
Avida
style
GRASP
complexity
evolution
artificial life
code
Author
Torbjörn Lundh
Chalmers, Mathematical Sciences, Applied Mathematics and Statistics
Stony Brook IMS Preprint
Vol. 00 03
Institute for Mathematical Sciences
Stony Brook, USA,
Stony Brook, USA,
Subject Categories
Mathematics
Bioinformatics (Computational Biology)
Roots
Basic sciences
Areas of Advance
Life Science Engineering (2010-2018)