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.
