World Models: A Comprehensive Survey of Architectures, Methodologies, Reasoning Paradigms, and Applications

ArXi:2606.00133v1 Announce Type: new World models, internal simulators that learn the structure and dynamics of an environment, have emerged as a central paradigm in the pursuit of artificial general intelligence, enabling agents to predict, plan, and reason within learned representations. Despite rapid progress across reinforcement learning, robotics, autonomous driving, and video generation, the field lacks a unified framework integrating its diverse architectural choices