2015/04/29 by Olivier Rivoire
Biochemistry, Genetics and Molecular Biology · Computer Science · Physics and Astronomy · #Biological evolution #Cellular Automata and Applications #Dynamics (music) #Evolution and Genetic Dynamics #Evolutionary dynamics #Information processing #Information theory #Mathematical model #Origins and Evolution of Life #Quantitative biology #cond-mat.stat-mech #q-bio.PE
paper · pdf · doi:10.1007/s10955-015-1381-z
contribution for a special issue of the Journal of Statistical Physics on "Information Processing in Living Systems"
arxiv created 2015/04/29 · openalex publication_date 2015/10/29 · arxiv updated 2016/03/23 · openalex created_date 2016/06/24 · openalex updated_date 2026/08/05
Biological organisms adapt to changes by processing informations from different sources, most notably from their ancestors and from their environment. We review an approach to quantify these informations by analyzing mathematical models of evolutionary dynamics, and show how explicit results are obtained for a solvable subclass of these models. In several limits, the results coincide with those obtained in studies of information processing for communication, gambling or thermodynamics. In the most general case, however, information processing by biological populations shows unique features that motivate the analysis of specific models.