Life Emerges — Living Ink
Watch particles self-organise from chaos into a living system by toggling between entropy and free-energy minimization.
Эта страница была автоматически переведена с английского языка. Посмотреть оригинал на английском.
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.
Уровень для начинающих
Начните здесь. Интуитивные, визуальные точки входа в Активное выводение и Принцип свободной энергии.
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.
Средний уровень
Проходите через полный цикл вывода и наблюдайте, как самоорганизация раскрывается среди агентов и структуры.
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.
Уровень продвинутого уровня
Канонические и иерархические демонстрации, включая точность, ожидаемую свободная энергия и вложенные одеяла.
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.
О этих симуляциях
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.