The Predator-Prey Simulator is an interactive model that demonstrates natural selection and the balance of ecosystems through engaging gameplay.
Inspired by the Lotka-Volterra equations, the simulator explores how variations in animal attributes affect behaviour and survival in a dynamic environment. The aim is to create a realistic ecosystem where players can observe the interactions between predators and prey.
The simulator employs Unity’s AI for movement and pathfinding, allowing animals to navigate efficiently while avoiding obstacles. A basic genetic algorithm governs reproduction and mutation, although enhancements are needed to improve long-term viability in the ecosystem.
Plans for future development include refining the genetic algorithm, adding attributes like health and age for animals, and improving the user interface for a more interactive experience. Additionally, I aim to create more complex terrains and diverse species to enrich gameplay and simulation depth.
