Dive into a fish tank, follow a butterfly to a flower, watch bees dance in a hive, and see how a whole flock of birds flies as one! Nature has amazing secrets — let's explore them!
Every animal follows simple rules — but together they create amazing behaviour!
Nature is stranger than fiction — see for yourself!
Tap a card to reveal each animal's appearance and secret superpower!
5 questions — how well do you know the animal kingdom?
Dive deeper into the science behind animal behaviour
Topics and algorithms you'll explore in this category
Common questions about this simulation category
Fish schools, bird flocks, penguin colonies, and predator hunts — live
Animals and wildlife simulations use agent-based modelling to reproduce the collective behaviours observed in nature. Fish-school simulations apply the Boids steering rules — separation, alignment, cohesion, and obstacle avoidance — to hundreds of agents simultaneously, producing the escape manoeuvres and polarised schooling seen in real fish. Predator-prey simulations add a pursuing hunter whose sensing range and speed create oscillating population cycles.
Butterfly migration, penguin huddle thermoregulation, and beehive foraging simulations each demonstrate how global patterns emerge from purely local agent interactions with no central coordinator. These models are used in ecology research to study how collective sensing improves predator detection and how habitat corridors affect population connectivity. Adjusting sensing radius, attraction strength, or energy costs reveals the trade-offs that shaped real animal behaviour through evolution.
Each simulation in this category is built with accuracy and interactivity in mind. The underlying mathematical models are the same ones used in academic research and professional engineering — just made accessible through a web browser. Changing parameters in real time and observing the results is one of the most effective ways to build intuition for complex scientific and engineering concepts.