Machine learning foundations· book· 2000
Causality: Models, Reasoning, and Inference
On the reading lists
- #4 on the Books shelf (2026 edition)
Why it matters
Established structural causal models, interventions, and counterfactuals as a unified mathematical framework.
Condensed from the expert lists' notes.
The record
- First released
- 2000 (from oracle lists)
- Citations
- 12,981 citations, as counted by
Semantic Scholar (non-commercial licence) - Named by
- both expert lists
Editor's notes
- Classed as book: Judea Pearl's Cambridge University Press monograph. (AI draft (Claude), not yet reviewed, 2026-10-29)
Data sources
Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0), and
Semantic Scholar (used under its non-commercial API licence). Each count names its source. See the method.