@explorables/stranger_things
This explorable illustrates the beauty of strange attractors of selected two-dimensional chaotic maps. The attractors change shape as a function of their parameters.
This explorable illustrates the beauty of strange attractors of selected two-dimensional chaotic maps. The attractors change shape as a function of their parameters.
This explorable illustrates pattern formation in bacterial populations in which different clones with identical fitness expand in space.
This explorable illustrates dynamic patterns that emerge when collective motion and synchronization interact in a swarm of phase coupled oscillators.
This explorable illustrates a simple model for pedestrian dynamics. The model can explain spontaneous lane formation in opposing flows, congestion patterns, and phenomena like crowd turbulence.
This explorable illustrates the dynamics of a simple neural network model that is able to self-organize a one- or two-dimensional representation of a complicate input space.
This explorable illustrates the basic mechanism in evolutionary processes and how a population's fitness increases by random mutation and selection of most fit variants.
This explorable illustrates two dimensional random walks and the central limit theorem. Although random walks may differ on a small scale, as time progress and they all looks the same from a distance.
The explorable illustrates the properties of superdiffusive, scale-free random walks known as Lévy flights.
This explorable illustrates the phenomenon of percolation, when e.g. a liquid like water moves through a porous medium, like coffee. The percolation process is a critical phenomenon that exhibits interesting properties at the critical porosity of the medi
This explorable illustrates a model for traffic and congestion and the phenomenon knowns as phantom traffic jams, spontaneously emergent congested traffic segments that move slowly and oppositely to the traffic.
The explorable illustrates the behavior of a contagion process, like an epidemic. Susceptibles (S) can be infected by other infected sites (I), infected site become immune and recover (R), and when immunity wanes immune sites become susceptible again.
This explorable illustrates, as a representative of a broad range of dynamic phenomena, a simple model for the spatial spread of forest fires and the dynamic patterns they generate.
The explorable illustrates dynamic pattern formation and spiral waves in a cyclic reaction-diffusion system. In the model three species prey on each other in a cyclic way, A eating B, B eating C, and C eating A.
The explorable illustrates spatio-temporal pattern formation in a system of pulse-coupled oscillators. The model is a generic model that yields spiral waves and target patterns depending on the parameter choices.
This explorable illustrates a dynamic network that explains the emergence of groups of uniform opinion. Nodes can change their opinion based on their open-mindedness and can rewire their connections to other nodes that are like them.
This is a template for making a complexity explorable. The template can be used to create a new complexity explorable. This template implements the Vicsek Model.
This is a model for collective behavior in animals, e.g. flocks of birds or schools of fish based on simple rules of interaction.
A collection of regular fractals that illustrates the nature of self-similarity.
This explorable illustrates a simple and beautiful model for swarms, flocks and collective motion in animal populations.