A Unifying Perspective on Causal World Models: From Observations to Representations to Structure
World Models (WM) are increasingly seen as a foundation for intelligent agents that can predict, plan, and act beyond their training distribution. In this paper, we study WMs from a causal perspective across multiple levels of abstraction, ranging from perceptual observations to building a conceptual representation of the structure governing the environment dynamics. We argue that useful WMs must go beyond generative capabilities alone: they should also capture entity properties, entity-to-entit
Record details
Published: 13 August 2026
Source: arXiv
Category: Research
Topics: Agents & autonomy · Environment
Retrieved: 14 August 2026
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ethics.ai (13 August 2026), “A Unifying Perspective on Causal World Models: From Observations to Representations to Structure,” evidence record 19161, https://ethics.ai/record/19161 (originally published by arXiv).
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