Judea Pearl

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Gender	Female
Age	87
Date of birth	September 4,1936
Zodiac sign	Virgo
Born	Tel Aviv-Yafo
	Israel
Spouse	Ruth Pearl
Children	Daniel Pearl
	Tamara Pearl
	Michelle Pearl
Job	Engineer
	Professor
	Philosopher
	Computer scientist
	Researcher
Education	New York University Tandon School of Engineering
	New Jersey Institute of Technology
	Technion - Israel Institute of Technology
	Rutgers, The State University
Books	The Book of Why: The New Science of Cause and Effect
	Causal Inference in Statistics: A Primer
	An Introduction to Causal Inference
	Causality
	Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
	Uncertainty management in AI systems
	Heuristics: Intelligent Search Strategies for Computer Problem Solving
	The Book of Why
Awards	Rumelhart Prize
	IJCAI Award for Research Excellence
	Harvey Prize in Science and Technology
	Benjamin Franklin Medal in Computer and Cognitive Science
	National Jewish Book Award for Anthologies and Collections
	Turing Award
Official site	ucla.edu
Grandchildren	Adam Pearl
Notable student	Rina Dechter
Date of Reg.	2019-03-05 14:42:53
Date of Upd.	2023-08-20 00:19:19
ID	511035

The Texas Chain Saw Massacre
The Texas Chainsaw Massacre
AVPR: Aliens vs Predator - Requiem
Friday the 13th
The Boy
Mom and Dad
Pathfinder
Invaders from Mars
No One Lives
The Apparition
Amazon Women on the Moon
A Return to Salem's Lot
Captivity
It's Alive III: Island of the Alive
Zapped!
Frankenstein
Full Moon High
Madonna: Truth or Dare
Adventures in Appletown
Hiding Out
Deadly Illusion
She Came to the Valley
The Fifth Floor
Michael Jackson: Number Ones
Cunning Stunts
The Return
Getting Wasted
The Intruder
Evolver
FF. SS.– Cioè: che mi hai portato a fare sopra a Posillipo se non mi vuoi più bene?
Bruce Springsteen: The Complete Video Anthology 1978-2000
Meat Loaf: Bat Out of Hell II - Picture Show
Succumbs
Missy Elliott: Hits of Miss E: Vol. 1

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Judea Pearl Life story

Judea Pearl is an Israeli-American computer scientist and philosopher, best known for championing the probabilistic approach to artificial intelligence and the development of Bayesian networks. He is also credited for developing a theory of causal and counterfactual inference based on structural models.