यह पृष्ठ मशीन द्वारा अंग्रेज़ी से हिंदी में अनुवादित किया गया था। अंग्रेज़ी मूल देखें

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.

शुरुआती स्तर

शुरुआती

यहाँ से शुरू करें। सक्रिय अनुमान और मुक्त ऊर्जा सिद्धांत के लिए सहज, दृश्य प्रवेश बिंदु।

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.

मध्यम स्तर

मध्यम

पूरे इन्फ़रेंस लूप को पार करें और एजेंट्स और संरचना में स्व-संगठित होने की प्रक्रिया को देखें।

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.

उन्नत स्तर

उन्नत

कैननिकल और पदानुक्रमिक प्रदर्शन, जिसमें सटीकता, अपेक्षित मुक्त ऊर्जा, और नेस्ड कंबल शामिल हैं।

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.

इन सिमुलेशन्स के बारे में

कार्य करके सीखें

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.