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an Israeli American computer scientist and pioneer in [[Artificial Intelligence|artificial intelligence]], professor of computer science at the ''Cognitive Systems Laboratory'' of the [https://en.wikipedia.org/wiki/University_of_California%2C_Los_Angeles University of California, Los Angeles] (UCLA). Judea Pearl is known for developing the [https://en.wikipedia.org/wiki/Probabilistic_logic probabilistic approach ] to artificial intelligence and for the formalization of [https://en.wikipedia.org/wiki/Causality causal reasoning] <ref>[http://bayes.cs.ucla.edu/BOOK-99/book-toc.html CAUSALITY by Judea Pearl] (ebook)</ref> .

* [[Judea Pearl]] ('''1983'''). ''On the Nature of Pathology in Game Searching''. [https://en.wikipedia.org/wiki/Artificial_Intelligence_(journal) Artificial Intelligence 20], pp. 427-453Vol. 20

* [[Judea Pearl]] ('''1984'''). ''[https://www.computer.org/csdl/trans/tp/1984/01/04767470.pdf Some Recent Results in Heuristic Search Theory]''. [[IEEE#TPAMI|Transactions on Pattern Analysis and Machine Intelligence]], Vol. 6, No. 1* [[Judea Pearl]], [[Mathematician#APaz|Azaria Paz]] ('''1985'''). ''GRAPHOIDS: A Graph-Based Logic for Reasoning about Relevance Relations, or When would x tell you more about y if you already know z.'' UCLA Computer Science Department* [[Igor Roizen]], [[Judea Pearl]] ('''19861985, 2013'''). ''Learning Link Probabilities in Causal Trees.'' UAI 1986[[Laveen Kanal#Uncertainty AI 1|Uncertainty in Artificial Intelligence 1]], [https://arxiv.org/abs/1304.3103 arXiv:1304.3103]* [[Judea Pearl]], [[Mathematician#APaz|Azaria Paz]] ('''1987'''). ''A graph based logic for reasoning about relevance relations''. Advances in Artificial Intelligence II* [[Judea Pearl]], [[Mathematician#DGeiger|Dan Geiger]], [[Thomas Verma]] ('''1989'''). ''Conditional independence and its representations.'' [https://dblp1.uni-trier.de/db/journals/kybernetika/kybernetika25.html Kybernetica, Vol. 25]

* [[Mathematician#DGeiger|Dan Geiger]], [[Thomas Verma]], [[Judea Pearl]] ('''1990'''). ''Identifying independence in Bayesian networks''. Networks, Vol. 20* [[Mathematician#DGeiger|Dan Geiger]], [[Judea Pearl]] ('''1990'''). ''Logical and algorithmic properties of independence and their application to Bayesian networks''. Annals of Mathematics and Artificial Intelligence, Vol. 2* [[Mathematician#DGeiger|Dan Geiger]], [[Mathematician#APaz|Azaria Paz]], [[Judea Pearl]] ('''1993'''). ''Learning simple causal structures''. International Journal of Intelligent Systems, Vol. 8* [[Mathematician#DGeiger|Dan Geiger]], [[Judea Pearl]] ('''1993'''). ''Logical and algorithmic properties of conditional independence and graphical models.'' [https://en.wikipedia.org/wiki/Annals_of_Statistics Annals of Statistics], Vol. 21

* <span id="Symposium"></span>[https://en.wikipedia.org/wiki/Rina_Dechter Rina Dechter], [https://scholar.google.com/citations?user=Wd0CDmcAAAAJ&hl=en Hector Geffner], [https://en.wikipedia.org/wiki/Joseph_Halpern Joseph Y. Halpern] (eds) ('''2010'''). ''[http://bayes.cs.ucla.edu/TRIBUTE/pearl-tribute2010.htm Heuristics, Probability, and Causality: A Tribute to Judea Pearl]''. [http://bayes.cs.ucla.edu/TRIBUTE/festschrift-complete.pdf pdf]<ref>from the Symposium on [http://bayes.cs.ucla.edu/TRIBUTE/videos-heuristics.htm Heuristics], [http://bayes.cs.ucla.edu/TRIBUTE/videos-prob-reasoning.htm Probability] and [http://bayes.cs.ucla.edu/TRIBUTE/tribute-videos.htm Causality], March 12, 2010, [https://en.wikipedia.org/wiki/YouTube YouTube] Video<br/>{{#evu:https://www.youtube.com/watch?v=78EmmdfOcI8|alignment=left|valignment=top}}<br/>see also [[Richard Korf#JudeaPearl|Richard Korf]], [[Dana S. Nau#JudeaPearl|Dana Nau]] and [[Stuart Russell#JudeaPearl|Stuart Russell]]</ref>* [[Judea Pearl]] ('''2011'''). ''[https://dl.acm.org/citation.cfm?id=2351636 The Mechanization of Causal Inference: A "Mini Turing Test" and Beyond]''. [[ACM#ACMTuringAward|ACM Turing Award]] lecture, <ref>[[ACM#ACMTuringAward|ACM Turing Award]] lecture as [https://en.wikipedia.org/wiki/YouTube YouTube] Video<br/>: {{#evu:https://www.youtube.com/watch?v=iNm4nFBFmvo|alignment=left|valignment=top}}</ref>

* [[Igor Roizen]], [[Judea Pearl]] ('''20112013'''). ''Learning Link-Probabilities in Causal Trees. ''[https://wwwarxiv.org/abs/1304.artificial-intelligence3103 arXiv:1304.video/judea-pearl-eight-pillars-of-causal-wisdom-wce-2017-ucla Eight Pillars of Causal Wisdom3103]* [[Judea Pearl]]('''2013'''). ''A Constraint Propagation Approach to Probabilistic Reasoning''. [https://spparxiv.ucrorg/abs/1304.3422 arXiv:1304.3422]* [https://web.cs.ucla.edu/wce2017~guyvdb/ Guy Van den Broeck], [http:/Papers/eight_pillars_ofwww.karthikamohan.pdf pdfcom/ Karthika Mohan], [https://endblp.uni-trier.de/pers/hd/c/Choi:Arthur Arthur Choi], [[Judea Pearl]] ('''2014'''). ''Efficient Algorithms for Bayesian Network Parameter Learning from Incomplete Data''.wikipedia[https://arxiv.org/wikiabs/YouTube YouTube1411.7014 arXiv:1411.7014] Video: {{#evu:* [[Judea Pearl]] ('''2018'''). ''Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution''. [https://wwwarxiv.org/abs/1801.youtube04016 arXiv:1801.com/watch?v=8nHVUFqI0zk|alignment=left|valignment=top}}04016]