Work

Information Theory in a Darwinian Evolution Population Dynamics Model

Year: 2024
Type: article
Abstract: Since Darwin, evolutionary population dynamics has captivated scientists and has applications beyond biology, such as in game theory where economists use it to explore evolution in new ways. This approach has renewed interest in dynamic evolutionary systems. In this paper, we propose an information-theoretic method to estimate trait parameters in a Darwinian model for species with single or multiple traits. Using Fisher information, we assess estimation errors and demonstrate the method through simulations.
Source: Symmetry
Author: Eddy Kwessi
Institution: Trinity University
Language: English
Subfield: Genetics
Open Access status: gold
Estimated APC paid: $2,728
OpenAlex ID: W4404302425
FWCI: 0.242
Cites: 15
Cited by: 1
Related to: 10