# Simulation of population development in the predator-prey system under changing conditions of interaction

## TL;DR

This paper simulates how predator and prey populations change under different interaction conditions, matching real bacterial population data.

## Contribution

The novelty lies in simulating population dynamics under varying interaction conditions and matching them with experimental data.

## Key findings

- Numerical models show changes in population oscillation amplitudes under different interaction conditions.
- The simulations align with known experimental data from real bacterial populations.
- The models demonstrate damping, increase, or reduction of oscillations depending on interaction scenarios.

## Abstract

The numerical models of populations behaviour, simulated under changing condition of populations interaction (the hungry or full-fed populations, the existence of persons in the personal areas or in the common territory), demonstrate the increase, reduction or damping of oscillations amplitude, that corresponds qualitatively to known experimental data, obtained for real population of bacteria.