A robot observes a landscape with a pond, tree, mountains, rock, and house. Its gridded internal map omits the pond and places the tree and house differently, while three smaller bubbles branch to possible future scenes.
POC-reviewed visual · version 1

Concept dictionary

World Model

A world model is a representation — learned from experience or built by hand — that a system uses to predict how an environment may change and how its own actions may affect future states.

Review state
Reviewed in POC
Freshness
Current
Version
3

Also called

  • World Model
  • World Models

Remember it this wayThe system acts on its model of the world, not the world directly.

In plain language

The model captures selected regularities about objects, actors, dynamics, or consequences so an AI system can simulate possibilities or plan beyond the immediate input.

Why it matters

Planning depends on the representation matching the relevant environment. Missing rules, changing conditions, or mistaken identity can produce confident but unsafe action.

Example

A robot uses a learned representation of movement and object interaction to predict which route and action sequence is likely to reach a target safely.

Common misconception

A world model is not a complete or objective copy of the world and does not establish common sense or humanlike understanding.

Related terms

Sources

Learn more

  • Check assumptions against reality with [[context-to-reality-drift|Context-to-Reality Drift]].

Reviewed in POC · last human review 2026-08-12 · content version 3 · visual version 1

Source and POC details

Source: learning-library/glossary/terms/world-model/term.md

Source hash: sha256:f7ef697f7c8a92c72228b504e1241c5f6530ff42ae823fd67be7cce8c8a6cfe5

Media: POC-reviewed evidence; RS AI Learning Lab, Owned production asset.

Release: glossary-team-poc-0.5.5-2026-09-02 · not production approved