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Identifier

000423901

Title

A forward spatial simulator on evolutionary game theory

Alternative Title

Χωρικός προσομοιωτής σε εξελικτική θεωρία παιγνίων

Author

Κοροπούλης, Άγγελος Γ.

Thesis advisor

Παυλίδης, Παύλος

Reviewer

Τσαμαρδίνος, Ιωάννης
Τόλλης Ιωάννης

Abstract

Individuals best adapted to their biotic and abiotic environments are more likely to survive and reproduce. Until today, studies that link behavior with the genome evolution are sparse. A framework to link behavior of individuals to the evolution of populations is the evolutionary game theory (EGT). The main idea behind this theory is that individuals with different phenotypes represent different strategies regarding interactions between individuals participating in an evolutionary game. These interactions affect access to food supplies and mates. This received payoff is translated to fitness in population genetics, and determines the reproduction rate of an individual. EGT games are commonly presented as matrix games, which have guided the research on social dilemmas. Usually two strategies are studied: cooperation (synergy) and competition. Cooperation enables higher payoff than individuals could achieve on their own. However, the tendency to antagonize the other players and benefit from their behavior is often appealing to secure resources, especially in the cases when resources are limited. Simulators are important for studying EGT and its effect on the structure of populations and genome evolution as they make associations between parameters and outcomes possible. To date, most of the algorithms for population genetics studies make a multitude of simplifying assumptions. For example, the widely-used software ms allows for population substructure, homologous recombination, but it does not assume any spatial heterogeneity. Thus, the population is assumed to live in an ideal space where all members of a deme are allowed to mate with the same probability with any member of the same deme and without otherwise interacting with each other. Furthermore, the behavior of an individual has not been linked to its fitness value. To tackle this issue, we implemented FEG, a forward-in-time spatial simulator featuring a predator interaction model under the concept of EGT. FEG is available as an open source software (GPL V3.0), which can be obtained from https://github.com/aggelosk/game.

Language

English

Subject

Population genetics

Simulation

Πληθυσμιακή γενετική

Προσομοιώσεις

Issue date

2019-07-26

Collection

School/Department--School of Sciences and Engineering--Department of Computer Science--Post-graduate theses

Type of Work--Post-graduate theses