Informations in models of evolutionary dynamics
arXiv:1504.07761 · doi:10.1007/s10955-015-1381-z
Abstract
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.
contribution for a special issue of the Journal of Statistical Physics on "Information Processing in Living Systems"
References in corpus (9)
- Second Law of Thermodynamics with Discrete Quantum Feedback Control
- Extracting work from a single heat bath through feedback
- Second-law-like inequalities with information and their interpretations
- Thermodynamics of statistical inference by cells
- A Model for the Generation and Transmission of Variations in Evolution
- Efficiency of a Brownian information machine
- Fluctuation Relations of Fitness and Information in Population Dynamics
- Evolution of sparsity and modularity in a model of protein allostery
- Jarzynski-type equalities in gambling: role of information in capital growth
Cited by in corpus (6)
- Transitions in optimal adaptive strategies for populations in fluctuating environments
- Stochastic and Information-thermodynamic Structures of Population Dynamics in Fluctuating Environment
- Minimal informational requirements for fitness
- Stabilization of Microbial Communities by Responsive Phenotypic Switching
- Many-body perturbation theory and fluctuation relations for interacting population dynamics
- Sex as information processing: optimality and evolution