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🧪 Creative Problem Solving Dynamics

Watch a swarm of 'idea' particles search a randomly generated fitness landscape using particle-swarm optimisation, modelling how divergent exploration and convergent focus combine in creative problem solving.

Generative Art & Algorithmic Patterns2DModerate60 FPS📱 Mobile-adapted

This simulator models creative problem solving as a swarm of "idea" particles searching a randomly generated landscape of candidate solutions using particle-swarm optimisation. Each idea drifts under its own momentum (divergent exploration), gets pulled back toward its own best variant so far, and is pulled toward whatever the whole swarm currently considers best (convergent consensus). Tuning inertia, personal pull and social pull live shows the swarm swing between wide, chaotic exploration and tight, focused refinement — the same divergent/convergent rhythm studied in real creative-cognition research — while a fresh "New Problem" reshuffles the landscape so the swarm has to search again from scratch.

⚙ Under the hood

Explore creative problem-solving techniques in this interactive simulation, designed for intermediate users.

Creative Problem SolvingBrainstorming

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install