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Agent-based simulation with non-reciprocal interactions for Lotka-Volterra model

Authors: Guevara Fernández, Marc;

Agent-based simulation with non-reciprocal interactions for Lotka-Volterra model

Abstract

This work studies the population dynamics of a system with two classes of particles that act as prey and predator. We perform an agent-based simulation where we model the interactions between particles as non-reciprocal, add movements from stochastic origins, and include multiplication and elimination mechanisms. We conclude by making a comparison with the ideal Lotka-Volterra model for population description. We find that our model exhibits oscillations in the populations, but with solutions outside the family of curves of the Lotka-Volterra equations. It is a more realistic model that exhibits the expected dynamics of a more general model of equations than the classical Lotka-Volterra.

Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2026, Tutor: José Manuel Ruiz Franco

Country
Spain
Related Organizations
Keywords

Model de Lotka-Volterra, Mecànica estadística, Lotka-Volterra model, Bachelor's theses, Treballs de fi de grau, Statistical mechanics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green