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Interactive learning

Simulations

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.

Уровень для начинающих

Начинающий

Начните здесь. Интуитивные, визуальные точки входа в Активное выводение и Принцип свободной энергии.

Life Emerges — Living Ink

Watch particles self-organise from chaos into a living system by toggling between entropy and free-energy minimization.

Apple or Frog? — Perception as Inference

See how the brain resolves ambiguous sensory data through Bayesian inference by adjusting beliefs and likelihoods.

Surprise Minimisation — The Fish Predicts

Control the environment while a fish minimizes surprise, demonstrating prediction error and belief updating in real time.

Collective Active Inference — Fish Schooling

Multiple fish self-organize into group-level agents, demonstrating Markov blankets and collective behavior.

Средний уровень

Промежуточный

Проходите через полный цикл вывода и наблюдайте, как самоорганизация раскрывается среди агентов и структуры.

From Beliefs to Action — The Complete Loop

An eight-step guided tutorial through the complete Active Inference cycle, from generative models to policy selection.

The Self-Evidencing Tree — Morphogenesis as Inference

A tree that grows by minimizing free energy, exploring the explore–exploit trade-off through structural adaptation.

The Colony as Inference — Active InferAnts

An ant colony where individuals minimize expected free energy through pheromone communication and niche construction.

Active Inference Network — Collective Autonomy

Scale a complete graph from one agent to 150 and watch Markov blankets and collective autonomy emerge.

Уровень продвинутого уровня

Расширенный

Канонические и иерархические демонстрации, включая точность, ожидаемую свободная энергия и вложенные одеяла.

T-Maze — Expected Free Energy

The canonical Active Inference demonstration: an agent navigates by balancing information-seeking against reward.

Hierarchical Markov Blankets

Visualize nested Markov blankets from cells to organisms, showing recursive self-organization.

The Dopamine Dial — Neuromodulation as Precision

Adjust four neurotransmitter channels in a harvester ant brain to demonstrate precision-weighted behavior control.

Tree Morphology Quiz — Precision, Preferences & Hierarchy

An interactive quiz on how branching growth expresses precision, prior preferences, and hierarchical inference.

О этих симуляциях

Учись, делая.

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.