Smart Rockets vs Physarum

This app is supposed to demonstrate machine learning and how it works through natural selection. You can create levels for the computer to solve and adjust the population to fit the level or ‘environment’ better. The computer will try to solve the level using a form of machine learning called a Genetic Algorithm (which is based on evolution). If everything goes according to plan the computer will be able to figure out the level over a certain amount of generations.

Explore artificial life through a living, flowing simulation inspired by Physarum polycephalum, the slime mold famous for forming networks, solving paths, and showing intelligence without a brain. Physarum turns simple local rules into complex motion. Thousands of agents sense trails, turn, move, and deposit new traces. As the field evolves, branching networks, waves, and organic textures emerge in real time. Use Physarum to: - Tune sensor distance, turn angle, movement, and trail strength - Paint into the field and guide the simulation by touch - Explore chaotic, branching, and self-organizing patterns - Save and restore interesting agents, fields, and rules - Create vivid generative visuals with color controls It is part science toy, part generative art studio, and part meditative visual instrument. Whether you study emergent systems, teach artificial life, or simply enjoy hypnotic motion, Physarum gives you a hands-on way to watch complexity grow from simple behavior.