Sufficiency of Information Flow for Causal Flow

Determine whether information flow can serve as a sufficient descriptor for causal flow in evolving systems, and identify conditions under which information-theoretic descriptions are adequate to capture causal mechanisms.

Background

The paper discusses integrating causal reasoning with information-theoretic analyses to distinguish informative novelty from spurious signals and to enable provable causal generalization in open-world intelligence.

While information theory quantifies signal transmission and dependencies, whether such informational measures fully capture causal dynamics remains unresolved. A unified Info-Causal Fusion framework is proposed, but its sufficiency for causal description is explicitly identified as an open question.