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  1. Welcome to my homepage. To find out what I am up to, new submissions, working papers, adventures and introspections, click here . For discussions and disputations concerning controversial topics read the Causality Blog. To view the slides of my tutorial at the Joint Statistical Meetings (JSM-16), Chicago, IL, August 1, 2016, click [ppt] or [pdf].

  2. Aug 31, 2018 · How, then, are we to determine whether one thing has caused another? This week on the Science podcast, Judea Pearl and Dana Mackenzie discuss strategies for causal thinking and describe its implications for artificial intelligence. Listen to the interview at: sciencemag.org/podcasts.

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  4. Judea Pearl. Professor of Computer Science, University of California, Los Angeles. Verified email at cs.ucla.edu - Homepage. causality artificial intelligence structural equations counterfactuals. Title. Sort. Sort by citations Sort by year Sort by title. Cited by.

  5. Judea Pearl* Radical empiricism and machine learning research. https://doi.org/10.1515/jci-20210006. - received February 23, 2021; accepted April 02, 2021. Abstract: I contrast the “data fitting vs data interpreting approaches to data science along three dimen. ” “ ” - sions: Expediency, Transparency, and Explainability.

  6. Sep 1, 2023 · In the first half of 2023, the machine learning programs ChatGPT and GPT-4 changed the landscape of artificial intelligence research seemingly overnight. Judea Pearls research bridges the subjects of statistics and artificial intelligence and highlights the importance of causality in both settings.

  7. May 15, 2018 · The causal revolution, instigated by Judea Pearl and his colleagues, has cut through a century of confusion and established causality -- the study of cause and effect -- on a firm scientific basis. His work explains how we can know easy things, like whether it was rain or a sprinkler that made a sidewalk wet; and how to answer hard questions ...

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