A Definition and Roadmap for World Models
World models -- internal simulators that learn the structure and dynamics of an environment -- have become one of the most actively debated concepts in AI. From model-based reinforcement learning and video generation to embodied robotics and ultimately, physical AI, researchers across AI subfields are building systems that they call "world models", yet there is no consensus on what a world model fundamentally is, what it should predict, or how it should be built. This perspective article provides a scientific definition of world models, discussions of their key technical aspects, and a staged
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 68%leofan90/Awesome-World-Models →
- PossiblePossibly related (embedding) · 61%grandgaming9321-prog/reality-engine →
- PossiblePossibly related (embedding) · 56%China leads development of AI world models: expert - bastillepost.com →
- PossiblePossibly related (embedding) · 56%gunawan1996/world-forge-ai →
- PossiblePossibly related (embedding) · 52%autonomous-ai/autonomous-computer →
- PossiblePossibly related (embedding) · 48%mlco2/ecologits →
- LinkedLinked via arxiv author · 85%Xinyuan Chen →
“A Definition and Roadmap for World Models”
- LinkedLinked via arxiv author · 85%Haoyu Guo →
“A Definition and Roadmap for World Models”
