Why19 at Stanford, March 2019

Beyond Curve Fitting: Causation, Counterfactuals, and Imagination-based AI AAAI Spring Symposium, March 25-27, 2019, Stanford, CA Motivation In recent years, Artificial Intelligence and Machine Learning have received enormous attention from the general...

THE BOOK OF WHY: THE NEW SCIENCE OF CAUSE AND EFFECT

Publisher’s Description Authors’ Bios Judea Pearl Dana Mackenzie Scientific Background Causality and the sciences Causality and Statistics Causality and Artificial Intelligence (video) Causality and Cognitive Science (video) Causality...

JUDEA PEARL, MADELYN GLYMOUR, NICHOLAS P. JEWELL CAUSAL INFERENCE IN STATISTICS: A PRIMER

Publisher’s Description Front Matter Preface Table of Contents Preview of Chapters Chapter 1 preview and bibliographical notes Chapter 2 preview and bibliographical notes Chapter 3 preview and bibliographical notes Chapter 4 preview and bibliographical...

JUDEA PEARL – CAUSALITY 2nd Edition, 2009

1. Why I wrote this book2. Table of Contents 3. Preface 1st Edition 2nd Edition4. Preview of text Epilogue: The Art and Science of Cause and Effect (from Causality, 2nd Edition) Important Topic: On the meaning of structural equations (from Causality,...

UCLA’s Professor Judea Pearl Wins the Rumelhart Prize

Recognition awarded for his leading research in artificial intelligence and reasoning systems. By RBR Staff | August 16, 2010 The Cognitive Science Society today announces that Professor Judea Pearl of University of California at Los Angeles...

Judea Pearl Tribute Symposium: Causality

UCLA computer science professor Judea Pearl was honored March 12, 2010 at an all-day workshop celebrating his influential contributions in artificial intelligence and related sciences. The event, held at the UCLA Faculty Center, coincided with the 25th...

Judea Pearl Bio

B.S. degree in Electrical Engineering from the Technion, Haifa, Israel, in 1960; Master degree in Physics from Rutgers University, New Brunswick, New Jersey, in 1965; Ph.D. degree in Electrical Engineering from the Polytechnic Institute of Brooklyn,...

JUDEA PEARL Lecture Video

References https://amturing.acm.org/vp/pearl_2658896.cfm

An AI Pioneer Wants His Algorithms to Understand the ‘Why’

Deep learning is good at finding patterns in reams of data, but can’t explain how they’re connected. Turing Award winner Yoshua Bengio wants to change that. “It’s a big thing to integrate [causality] into AI,” says University...