… Can a single artificial intelligence (AI) system perform all these tasks? Each of these … We
call such a mental model a World Model. Specifically, a World Model (WM) is a generative …

… Instead of reacting solely to instantaneous observations, a world model seeks to learn
internal representations of the environment that capture its underlying structure [7,8], temporal …

… Lastly, we review recent progress in creating human-like intelligence by using novel … to
create human-like artificial intelligent machines and to understand intelligence in the context of …

… In this survey, we define a physical world model as a digital engine that encodes comprehensive
world knowledge to simulate real-world dynamics according to intrinsic physical laws. …

… uptake of the world model notion. As I will discuss further in the text, world model becomes
a … for the “mutual contamination of human and artificial intelligence”—I propose to further his …

… Under this formulation, we use world model in a functional … does not qualify as a world model
in our sense simply because … is the action-conditioned world model, since visually plausible …

… While numerous surveys have reviewed topics such as Artificial Intelligence (AI)-driven …
Moreover, we analyze the world model-driven generalization and information diffusion in IN. …

… path to artificial general intelligence makes … world model research, we believe such analysis
contributes to ongoing discussions about the nature of understanding in artificial intelligence…

… Embodied artificial intelligence is moving from reactive perception and scripted control
toward agents that can predict, simulate, and evaluate possible futures before acting. This …

… Artificial Intelligence paradigm dedicated to the domain of world modeling. S-AI-WorldModel
formalizes the world model as a … The architecture introduces a fourcomponent World Model …