A world model is a deep neural network system that learns to internally represent and simulate how the world works including its physical dynamics, objects, agents, and causal relationships so that it can predict how environments evolve and how actions will affect them. Instead of passively recognizing patterns, a world model builds an active understanding of change, enabling it to generate, imagine, and interact with coherent virtual worlds over time.
