Professor George F. Luger

George Luger is currently Research Professor
Department of Computer Science - FEC 2110
University of New Mexico

George Luger has been a Professor in the UNM Computer Science Department since 1979. His two master's degrees are in pure and applied mathematics from Gonzaga University and the University of Notre Dame. He received his PhD from the University of Pennsylvania in 1973, with a dissertation focusing on the computational modeling of human problem solving performance in the tradition of Allen Newell and Herbert Simon.

George Luger had a five-year postdoctoral research appointment at the Department of Artificial Intelligence of the University of Edinburgh in Scotland. In Edinburgh he worked on several early expert systems, participated in the development and testing of the Prolog computer language, and continued his research in the computational modeling of human problem solving performance.

At the University of New Mexico, George Luger, a Professor of computer Science, has also been given a Professorship in the Psychology and Linguistics Departments, reflecting his interdisciplinary research and teaching of Cognitive Science and Computational linguistics courses and seminars in these areas.

George Luger's AI book, Artificial Intelligence: Structures and Strategies for Complex Problem Solving (Addison-Wesley 2008) is now in its sixth edition. To get the software for any of Professor Luger's AI books, please select the FTP site address under the appropriate book cover below. For instructors using the fifth and sixth editions of the AI book, an Instructors Guide and sets of Power Point presentation slides are available from Addison Wesley and Pearson Education. Academic Press published his book Cognitive Science: The Science of Intelligent Systems in 1994. His edited collection of readings from the early creators of AI research is presented in his edited collection of papers, Computation and Intelligence, published by AAI and MIT Press in 1995.

Artificial Intelligence:
6th Ed web site

(includes sample code, Chapter One, table of contents) and Errata (May 15, 2009)

Watch the videos of the 28 Class Lectures from "Introduction to Artificial Intelligence" Course taught by Professor Luger

AI Algorithms, Data Structures and Idioms in Prolog, Lisp, and Java
Preface, Chapter One,
Prolog Chapters
Lisp Chapters
Java Chapters
Master Programmer

Artificial Intelligence:
5th Ed web site

(includes sample code)
Download the book (179KB, Tar GZ): includes sample code
Artificial Intelligence: 4th Ed
FTP site Read this book

Cognitive Science
FTP site

NATO, the British Royal Society, NASA, the Department of Defense, the Departments of Energy and Transportation, the NIH, and other agencies including the Smithsonian Institution have supported George Luger's research. He has worked with the Los Alamos and Sandia National Laboratories, and has received research funding through, and consulted for, numerous private companies. His most recent National Science Foundation supported research is in building algorithms for probabilistic diagnostic reasoning, where he has developed stochastic models, mostly in an extended form of dynamic Bayesian belief networks, to model complex environments such as the production of electric power using sodium cooled nuclear reactors. His students, especially Dan Pless and Carl Stern have extended this work and produced a software tool, based on Judea Pearl's algorithms, called Generalized Loopy Logic.

George's PhD students include Chayan Chakrabarti, Michael Darling, Paul DePalma, Sunny Fugate, Ben Gordon, Kshanti Greene, Bill Klein, Joseph Lewis, Linda Means, Dan Pless, Roshan Rommohan, Nakita Sakanenko, Jim Skinner, Carl Stern, and Bill Stubblefield. Many of their contributions can be found in the publications below.

Principal Publications,