simulations & code
Living Systems
in Code
Simple rules. Emergent complexity. Explored in p5.js.
Technology as a way of understanding nature. Each simulation here asks questions — can complex natural behaviours be reliably distilled into simple rules ?
the simulations
● live
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Boids — Flocking Behaviour
Agents follow three rules: separation, alignment, cohesion. Watch murmurations emerge from nothing but local awareness. Run the simulation to see a sketch of how flocking behaviour could arise.
● live
Physarum — Slime Mold Networks
A single-celled organism that solves the travelling salesman problem. Agents leave pheromone trails, trails attract agents, networks self-optimise. Nature's algorithm for efficient transport.
● live
L-Systems — Generative Plants
Aristid Lindenmayer's grammar for growing things. A string rewriting system that generates the branching geometry of ferns, trees, and coastlines from a single axiom and a handful of rules.
seeds — ideas not yet planted
seed
Ant colony optimisation & pheromone pathfinding
seed
Cellular automata — Conway's Game of Life variants
seed
Mycelium network growth simulation
seed
Fluid dynamics — water flowing around obstacles