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!
Animals & Behaviour is the study of how creatures move, communicate and live together — and why whole groups behave so cleverly without any single leader in charge. In this category you will learn how fish schools, bird flocks, ant colonies and predator-prey populations follow a handful of simple local rules that add up to astonishing collective behaviour. Each interactive simulation lets you change the rules, slow things down and watch nature respond in real time. Understanding animal behaviour matters because the same ideas power swarm robotics, traffic modelling, delivery-route planning and conservation science — making this a playful first step into both biology and the maths that describes the living world.
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.
Every Animals & Behaviour simulation on this page turns a textbook idea into something you can touch: tweak a slider, scatter a flock or starve a population and watch the consequences unfold instantly. Each interactive Animals & Behaviour model uses the same agent-based maths that ecologists rely on to predict how real herds, schools and colonies respond to change. Whether you want to learn Animals & Behaviour online for a school project or simply enjoy the science of nature, these tools also mirror real-world applications such as swarm robotics, where drones coordinate using exactly these flocking rules — no installation, no account, just open and explore.