Life Emerges — Living Ink
Watch particles self-organise from chaos into a living system by toggling between entropy and free-energy minimization.
Interactive learning
12 interactive, browser-based simulations of Active Inference and the Free Energy Principle — from particles self-organising into life to agents navigating a T-maze. Each one runs entirely in your browser. Explore them by difficulty, or dive straight in.
Beginner level
Start here. Intuitive, visual entry points into Active Inference and the Free Energy Principle.
Watch particles self-organise from chaos into a living system by toggling between entropy and free-energy minimization.
See how the brain resolves ambiguous sensory data through Bayesian inference by adjusting beliefs and likelihoods.
Control the environment while a fish minimizes surprise, demonstrating prediction error and belief updating in real time.
Multiple fish self-organize into group-level agents, demonstrating Markov blankets and collective behavior.
Intermediate level
Step through the full inference loop and watch self-organization unfold across agents and structure.
An eight-step guided tutorial through the complete Active Inference cycle, from generative models to policy selection.
A tree that grows by minimizing free energy, exploring the explore–exploit trade-off through structural adaptation.
An ant colony where individuals minimize expected free energy through pheromone communication and niche construction.
Scale a complete graph from one agent to 150 and watch Markov blankets and collective autonomy emerge.
Advanced level
The canonical and hierarchical demonstrations, including precision, expected free energy, and nested blankets.
The canonical Active Inference demonstration: an agent navigates by balancing information-seeking against reward.
Visualize nested Markov blankets from cells to organisms, showing recursive self-organization.
Adjust four neurotransmitter channels in a harvester ant brain to demonstrate precision-weighted behavior control.
An interactive quiz on how branching growth expresses precision, prior preferences, and hierarchical inference.
About these simulations
These demonstrations make abstract Active Inference concepts tangible. They are also published on the Institute's main site at activeinference.org/pages/simulations.html. To learn the theory behind them, see Active Inference and the Learning and Research resources.