Judea Pearl
Causal Inference · Bayesian Networks · Philosophy of AI · b. 1936 · Israeli-American
Father of Bayesian networks and the causal-inference revolution - arguing that without causality, AI cannot truly reason.
Biography
Judea Pearl single-handedly recast statistics and AI around graphical models and causal reasoning. His 'do-calculus' and 'ladder of causation' frameworks underlie modern epidemiology, econometrics, and a growing strand of AI research. He shared the 2011 Turing Award for these contributions.
Affiliations
UCLA
Professor of Computer Science · 1970–present
Major contributions
Bayesian Networks
Founded the modern formalism for probabilistic reasoning in AI.
Do-Calculus
Created the mathematics of intervention and counterfactual reasoning.
Ladder of Causation
Defined the hierarchy: association → intervention → counterfactuals.
Major works
Probabilistic Reasoning in Intelligent Systems
1988
Causality: Models, Reasoning, and Inference
2000
The Book of Why
2018
Awards & honors
- Turing Award · 2011
- IJCAI Research Excellence Award · 1999
Intellectual lineage
Influences
- Thomas Bayes
- Sewall Wright
Influenced
- Daphne Koller
- Stuart Russell
Timeline
1965
PhD from Polytechnic Institute of Brooklyn.
1988
Published the foundational Bayesian networks book.
2000
Published 'Causality'.
2011
Awarded the Turing Award.
Notable positions
- Deep learning is curve-fitting without causal understanding.
- True AI requires the three rungs of the causation ladder.
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