2001/03/16 by Torbjörn Lundh, Lundh, Torbjörn
Computer Science · #Authorship Attribution and Profiling #Dynamical Systems (math.DS) #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Numerical Analysis (math.NA) #Quantitative Biology (q-bio)
paper · pdf · doi:10.48550/arxiv.math/0103109
openalex publication_date 2001/03/16 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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 \citeschmitt. 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 program, and by giving a definition of general codes and a definition of style for such codes.