EmergentLab

EmergentLab is a web app for building and running small-to-mid scale complex-systems simulations (agent-based, cellular automata, network diffusion) and automatically surfacing “emergent” behaviors: phase transitions, clustering, tipping points, and stability regimes. Users assemble models from reusable blocks (agents, rules, networks, noise, constraints), run parameter sweeps, and get dashboards that highlight where qualitative behavior changes. The AI layer generates plain-English explanations of what changed and suggests next experiments (e.g., which parameter to sweep, what metric to track, which network topology to try) while keeping the math transparent with citations to the model’s actual outputs. It’s designed for researchers, educators, and product/ops teams who want to reason about systemic effects without writing a full simulation codebase. Export results to notebooks and share interactive “model stories” with reproducible runs.