The field of Artificial Intelligence has changed a great deal since
the 80s, and arguably no one has played a larger role in that
change than Judea Pearl. Judea Pearl's work made probability the
prevailing language of modern AI and, perhaps more significantly,
it placed the elaboration of crisp and meaningful models, and of
effective computational mechanisms, at the center of AI research.
This book is a collection of articles in honor of Judea Pearl,
written by close colleagues and former students. Its three main
parts, heuristics, probabilistic reasoning, and causality,
correspond to the titles of the three ground-breaking books
authored by Judea, and are followed by a section of short
reminiscences. In this volume, leading authors look at the state of
the art in the fields of heuristic, probabilistic, and causal
reasoning, in light of Judea's seminal contributors. The authors
list include Blai Bonet, Eric Hansen, Robert Holte, Jonathan
Schaeffer, Ariel Felner, Richard Korf, Austin Parker, Dana Nau, V.
S. Subrahmanian, Hector Geffner, Ira Pohl, Adnan Darwiche, Thomas
Dean, Rina Dechter, Bozhena Bidyuk, Robert Matescu, Emma Rollon,
Michael I. Jordan, Michael Kearns, Daphne Koller, Brian Milch,
Stuart Russell, Azaria Paz, David Poole, Ingrid Zukerman, Carlos
Brito, Philip Dawid, Felix Elwert, Christopher Winship, Michael
Gelfond, Nelson Rushton, Moises Goldszmidt, Sander Greenland,
Joseph Y. Halpern, Christopher Hitchcock, David Heckerman, Ross
Shachter, Vladimir Lifschitz, Thomas Richardson, James Robins, Yoav
Shoham, Peter Spirtes, Clark Glymour, Richard Scheines, Robert
Tillman, Wolfgang Spohn, Jian Tian, Ilya Shpitser, Nils Nilsson,
Edward T. Purcell, and David Spiegelhalter.
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