Judea Pearl
The Causality Argument
Bayesian networks, do-calculus, and what deep learning cannot do
Rating
91Impact score
Domains
Probabilistic reasoningCausal inferenceBayesian networks
Scouting report
Made probabilistic reasoning tractable with Bayesian networks, then built the formal machinery of causal inference — do-calculus, counterfactuals, the ladder of causation. Turing Award, 2011. Spends much of his time arguing that systems which only fit correlations are missing the thing that makes reasoning work, an argument the scaling era has not settled.
Curator’s note
The standing objection the field has not answered, only outrun.
Portrait
Painted from a photograph of Judea Pearl by Better Than Bacon, licensed CC BY 2.0.
Sources
- 01Judea Pearl en.wikipedia.org
- 02ACM A.M. Turing Award 2011 amturing.acm.org