Informations in Models of Evolutionary Dynamics

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.

• Publication year

  2015

• Venue

  Journal of Statistical Physics

• Publication date

  2015-04-29

• Fields of study

  Biology, Mathematics, Physics, Computer Science

• Identifiers
  DOI 10.1007/s10955-015-1381-zarXiv 1504.07761
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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