
Professor George F. Luger
FEC 104
As of 1 July 2011 George Luger is the Interim Chairperson of the Department of
Computer Science at UNM
277-3204
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. 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 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 has also been made a Professor
in the Psychology and Linguistics Departments, reflecting his interdisciplinary
research and teaching in these areas. His most recent National Science
Foundation supported research is in diagnostic reasoning, where he has developed
stochastic models, mostly in an extended form of Bayesian Belief Networks. His
book Cognitive Science was published by Academic Press in 1994.
His AI book, Artificial Intelligence: Structures and Strategies
for Complex Problem Solving (Addison-Wesley 2008) is now into its
sixth edition. To get the software for any of Professor Luger's books,
please select the FTP site address under the appropriate book
below. For instructors using the Fourth through Sixth Edition of the AI
book, an Instructors Guide and Power Point presentation slides are
available from Addison Wesley and Pearson Education: www.aw.com/cs and www.pearsoneduc.com/computing.
Professor Luger has been funded by National Science Foundation for
research in stochastic languages and modeling. To date this research
has produced several papers describing their results, including the
creation of an object-oriented stochastic modeling language and
formalizing a stochastic lambda calculus. See publications below with
co-author Dan Pless.
Further development of our first-order and Turing-complete
stochastic modeling language was funded by the US Navy. Our
application area was the diagnosis of failures in helicopter rotor
systems. With support from the US Air Force we have developed a
weather prognosis application, receiving data from multiple parallel
sensors. For information on these applications see papers co-authored
by Chakrabarti, Rammohan, and Sakhanenko. The latest version of the Generalized Loopy Logic software is available here
Professor Luger has also been funded by NASA (NASA-00043 and NMSGC)
to assist in the development of TOFU, a program to recognize and
interpret space phenomena, such as sun spots and solar flares.
In the Madcat project, a Nomad robot is used with an extension of
the Copycat cognitive architecture to explore, map out, and use a
previously unknown physical domain. Details may be found in papers
below co-authored with Joseph Lewis.
Professor Luger has also been funded by the Department of Energy
through Sandia National Laboratories for research in collaboration
with the UNM MIND Research Network to identify, using fMRI, areas of human
cortex associated with different problem solving skills. This research
is still under way.
Professor Luger is but one of a number of faculty at UNM involved
in the various research aspects of Artificial
Intelligence.
Alumni
Principal Publications of the Last 20 Years
- Chakrabarti, C., Luger, G.F., 2014. An Anatomy for Artificial Conversation Generation in the Customer Service Domain. 25th Modern Artificial Intelligence and Cognitive Science Conference. Palo Alto CA: AAAI Press.
- Luger, G.F., Chakrabarti, C., Modern AI: Stochastic Models and an Epistemological Stance, 2014. 25th Modern Artificial Intelligence and Cognitive Science Conference. Palo AltoCA: AAAI Press.
- Chakrabarti, C., Jones, T. B., Xu, J. F., Luger, G. F., Turner, M. D., Laird, A. R., and Turner, J. A. , 2014. Statistical Algorithms for Ontology-Based Annotation of Scientific Literature. Journal of Bio-Medical Semantics.
- Turner, M. D., Chakrabarti, C., Jones, T. B., Xu, J. F., Fox, P. T., Luger, G. F., Laird, A. R., and Turner, J. A., 2013. Automated annotation of functional imaging experiments via multi-label classification. Frontiers in Neuroscience.
- Chakrabarti, C., Jones, T. B., Xu, J. F., Luger, G. F., Laird, A. R., Turner, M. D., and Turner, J. A. 2013. A Probabilistic Framework for Ontology-Based Annotation in Neuroimaging Literature. Bio Ontologies SIG, Intelligent Systems for Molecular Biology, Berlin, Germany.
- Chakrabarti, C., and Luger, G. F., 2013. A Framework for Simulating and Evaluating Artificial Chatter Bot Conversations. Proceedings of the 26th International FLAIRS Conference, Palo Alto: AAAI Press.
- De Palma, P., Luger, G., Smith, C., and Wooters, C., 2012.
Bypassing words in automatic speech recognition. Proceedings of the 23rd
Midwest Artificial Intelligence and Cognitive Science Conference, MAICS2012,
Cincinnati, Ohio. Available here.
- Chakrabarti, C., Luger, G.F., Laird, A.R., and Turner, J.A., 2012. Automated annotation of abstracts for cognitive experiments. Bio-Ontologies 2012. Long Beach, CA. Available here.
- Gordon, B., and Luger, G.F., 2012. English for spoken programming. Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems and 13th International Symposium on Advanced Intelligent Systems, Kobe Japan. (Received the "Best Student Paper" award for the
conference). Available here.
- Chayan Chakrabarti, George F. Luger, Angela R. Laird, and Jessica A.
Turner, 2012. Automated annotation of abstracts for cognitive experiments.
Bio-Ontologies 2012. Long Beach, CA. July 2012. Available here.
- George F. Luger, 2012. Alan Turing at 100: Artificial Intelligence and an
Epistemological Stance. Submitted for publication. Available here.
- George F, Luger, 2012. Epistemology, access, and computational models.
In The Complex Mind, McFarland, Stenning, and McGonigle Chalmbers, editors. London:
Palgrave Macmillan. Available here.
- George F. Luger, 2012. Can Artificial Intelligence Improve Human Reasoning?
A review in Computing in Science and Engineering July/August 2012 of Robert
Kowalski, Computational Logic and Human Thinking: How to be Artificially
Intelligent, Cambridge University Press, 2011. Available here.
- Paul De Palma, George Luger, 2010. Metathesis in English and Hebrew: A
computational
account of usage-based phonology. Poster. Proceedings of the 32nd Annual
Meeting of the Cognitive Science Society, Portland, August, 2010. Paper
available here.
- Kshanti A. Greene, Joseph M. Kniss, George F. Luger, Carl R. Stern. Satisficing the masses: Applying game theory to large-scale,democratic decision problems, IEEE Social Computing Conference, Social
Intelligence in Applied Gaming workshop. Also available as CS report TR-CS-2009-08
- Kshanti A. Greene, George F. Luger Agreeing to disagree: Leveraging consensus and divergence in Bayesian belief aggregation, AAAI Spring Symposium, Technosocial Predictive
Analytics workshop 2009. Also available as CS report TR-CS-2008-15
- Luger, George F. Artificial Intelligence: Structures and Strategies for Complex Problem Solving, 6th edition, Boston: Addison-Wesley Pearson Education, 2009.
- Luger, George F. and Stubblefield, William. A. AI Algorithms, Data Structures, and Idioms in Prolog, Lisp, and Java. Boston: Addison-Wesley Pearson Education. 2009.
- Sakhanenko, N.A., Rammohan, R.R., Luger, G. F. Stern, C.R. "A New Approach to Model-Based Diagnosis Using Probabilistic Logic," in Proceedings of the 21st International Florida Artificial Intelligence Research Society Conference (FLAIRS-21), Palo Alto: AAAI Press, 2008. Also available as CS report TR-CS-2008-04
- Sakhanenko, N. A., Rammohan, R. R., Luger, G. F., and Stern, C. R. "A Context-Partitioned Stochastic Modeling System with Causally Informed Context Management and Model Induction". in Proceedings of the 3rd Indian International Conference on Artificial Intelligence (IICAI-07), pp 2172-2191, 2007. Also available as CS tech report TR-CS-2007-09
- Luger, G.F. and Chakrabarti, C., "From Expert Systems to Graphical Models". A chapter in Handbook of Probability: Theory and Applications, T. Rudas (ed). Sage Publications, 2008. CS Tech Report TR-CS-2009-10
- Ritthaler, M., Luger, G. F., Young, R., McGraw, J. and Zimmer, P. "Bayesian Belief Networks for Astronomical Object Recognition and Classification in CTI-II". In Astronomical Data Analysis Software and Systems XVI, ASP Conference Series, Vol XXX, 2006. Conference Abstract
- Chakrabarti, C., Pless, D. J., Rammohan, R., and Luger, G. F. "Diagnosis Using a First-Order Stochastic Language That Learns." In Expert Systems with Applications. Elsevier Press. 32 (3). June 2007. (to appear). See Link
- Sakhanenko, N.A., Luger,G.F., Stern C. R. 2007. "Managing Dynamic Contexts Using Failure-Driven Stochastic
Models." In Proceedings of FLAIRS Conference, AAAI Press.
- Luger, G.F., 2006. Artificial Intelligence: Structures and
Strategies for Complex Problem Solving, 5th edition, Chinese
Translation. Pearson Education (UK).
- Sakhanenko, N.A., Luger, G.F., Makaruk, H.E., Aubrey, J.B. and
Holtkamp, D.B., 2006. "Shock Physics Data Reconstruction Using Support
Vector Regression." In International Journal of Modern Physics C, (17),
9. World Scientific. PDF (Tech Report Version)
- Pless, D. J., Chakrabarti, C., Rammohan, R., and Luger, G. F. "The Design and Testing of a First-Order Stochastic Modeling Language." In
International Journal on Artificial Intelligence Tools, Vol. 15, No. 6 (2006) 979-1005. World Scientific Publishing Company.
See Link. Published version.
- Chakrabarti, C., Rammohan, R., and Luger, G. F.
"A First-Order Stochastic Prognostic System for the Diagnosis of Helicopter Rotor Systems for the US Navy".
In Proceedings of the 2nd Indian International Conference on Artificial Intelligence. Pune, India. December 2005. Elsevier Publications.
See Link
- Kanglin Xu and George Luger. "Properties of the Affinity Matrix for Multiple Closed Contour Segmentation." In Proceedings of the 12th International IEEE Conference on Advanced Robotics, July 18-20, 2005, Seattle, Washington. See Link
- Chakrabarti, C., Rammohan, R., and Luger., G. F. "A First-Order Stochastic Modeling Language for Diagnosis" In the 18th International FLAIRS Conference, Clearwater Beach, FL 2005. AAAI Press.
See Link
- Luger, G.F. Artificial Intelligence: Structures and Strategies for
Complex Problem Solving, London: Addison-Wesley, 850
pages, Fourth Edition, 2002, Fifth Edition, 2005.
- Xu, Kanglin and Luger, George F. "A Tool for Kinematic Error Analysis of Robots/Active Vision Systems" In
10th International Conference on Robotics and Remote Systems for Hazardous Environments, American Nuclear Society, March 2004.
See UNM Computer Science Technical Report TR-CS-2003-50
- Pless, D., and Luger, G., "EM Learning of Product Distributions in a
First-Order Stochastic Logic Language." Artificial Intelligence and
Soft Computing: Proceedings of the IASTED International Conference.
IASTED/ACTA Press, 2003. See UNM Computer Science Technical Report TR-CS-2001-37
- Luger, George F., Lewis, Joseph A., and Stern, Carl "Problem Solving as Model Refinement: Towards a Constructivist Epistemology" In Brain, Behavior, and Evolution, Winter 2001.
See UNM Computer Science Technical Report TR-CS-2001-37
- Harrison, Carol D. and Luger, George F. Data Mining Using Web Spiders, Submitted for publication, 2002.
See UNM Computer Science Technical Report TR-CS-2001-34
- Pless, Dan and Luger, George F. "Toward General Analysis of Recursive Probability Models", Published in the Proceedings of the Uncertainty in Artificial Intelligence Conference-2001, San Francisco: Morgan Kaufmann, 2001.
See UNM Computer Science Technical Report TR-CS-2001-04
- Lewis, J.A. and Luger, G.F. "A Learning Architecture for Intelligent
Behavior in a Robot ". Submitted to Advances in Intelligent Data Analysis
Symposium (AIDA 2001) at the Computational Intelligence Modeling and
Applications Conference (
CIMA 2001) of the International Computer Science Conventions in Bangor,
Wales, UK from June 19-22, 2001 (2001).
See UNM Computer Science
Technical Report TR-CS-2000-54
- Klein, W.B., Stern, C.R., Luger, G.F., and Pless, D. "Teleo-Reactive
Control for Accelerator Beamline Tuning". In Proceedings of the IASTED
International Conference. Zurich: IASTED/ACTA Press (2000).
See UNM Computer Science
Technical Report TR-CS-2000-43
- Lewis, J.A. and Luger, G.F. "A Constructivist Model of Robot Perception
and Performance". In Proceedings of the Conference of the Cognitive Science
Society, Hillsdale NJ: Lawrence Earlbaum (2000).
See UNM Computer Science
Technical Report TR-CS-2000-22
- Pless, D., Luger, G.F., and Stern, C.R. "A new Object-Oriented Stochastic
Modeling Language". In Proceedings of the IASTED International
Conference. Zurich: IASTED/ACTA Press (2000).
See UNM Computer Science
Technical Report TR-CS-2000-36
- Rogati,M., Lewis, J., and Luger G. "A Deformable Semantic Network as a
Tool for Context-Based Ambiguity Resolution", Presented at the 2nd Annual
PURSUE Student Conference at UNM, (2000).
See
UNM Computer Science
Technical Report TR-CS-2000-56
- Claiborne, A., Fricke, M., Lopes, L., Lewis, J., and Luger, G. "Emergent
Representation in a Robot Control Architecture", Presented at 2nd Annual
PURSUE Student Conference at UNM, (2000).
See UNM Computer Science
Technical Report TR-CS-2000-55
- Stern, CR. And Luger, G.F. "Integrating Model-Based diagnosis and Control
Automation". In Proceedings of the Intelligent Ships Symposium III.
Philadelphia PA: ASNE Press (1999).
- Klein, W.B., Westervelt, R.T., and Luger G.F. "A general purpose
intelligent control system for particle accelerators". In Journal of
Intelligent and Fuzzy Systems. New York: John Wiley (1999).
- Luger, G.F., and Stubblefield, W.A. "Artificial Intelligence: Structures
and Stratergies for Complex Problem Solving." (Third Edition), London:
Addison-Wesley, 850 pages (1998).
- Luger, G.F (ed). Proceedings: Artificial Intelligence and
Manufacturing. Cambridge: AAAI/MIT Press (1998).
- Stern, C.R., Olsson, E., Kroupa, M., Westervelt, R., Luger, G., and Klein,
W. "A Control System for Accelerators Combining Adaptive Plan Execution with
Online Learning". In Proceedings of ICALEPCS. Beijing (1997).
- Klein, W.B., Stern, C., Luger, G., and Olsson, E. "An intelligent control
architecture for accelerator beamline tuning." In Proceedings of Innovative
Applications of Artificial Intelligence. Cambridge: MIT Press (1997).
- Klein, W.B., Stern, C., Luger G., and Olsson, E. "Designing a portable
architecture for intelligent particle accelerator control." Particle
Accelerator Conference IEEE. Vancouver, BC (1997).
- Klein, W.B., Stern, C., Kroupa, M., Westervelt, R., Luger G., and Olsson,
E. "Tuning and optimization at Brookhaven and Argonne: Results of recent
experiments." Particle Accelerator Conference (1997).
- Matek, J., and Luger G.F. "An expert system controller for gas
chromatograhy automation." Instrumentation Science and Technology. New
York: Marcel Dekker (1997).
- Stern, C.R., Luger, G.F. "Abduction and Abstraction: A Schema Based
Account." In 'Expertise in Context', edited by Paul J. Feltovich et al.
Cambridge, MA: AAAI/MIT Press (1997).
- Luger, G.F (ed). "Proceedings: Artificial Intelligence and Manufacturing."
Cambridge: AAAI/MIT Press (1996).
- Stubblefield, W.A. and Luger G.F. "Source Selection for Analogical
Reasoning: An Empirical Approach." Proceedings of the American Association
of Aritificial Intelligence. Cambridge MA: AAAI/MIT Press (1996).
- Kleban, S.D., Luger G.F., and Watkins R.D. "Expert system support for
environmental assessment of manufacturing products and facilities." Journal
of Intelligent Manufacturing. London: Chapman & Hall (1996).
- Klein, W.B., Stern, C.R., Westervelt, R.T., and Luger, G.F. "Adaptive
control using model construction operators." Computational Accelerator
Physics Conference, American Institute of Physics Williamsburg, VA(1996).
- Stern, C.R., Klein, W.B., Luger, G.F., and Kroupa M. "Abductive model
refinement for accelerator control" Computational Accelerator Physics
Conference 1996, American Institute of Physics. Williamsburg, VA (1996).
- Watkins, R.D., Kleban, S.D., and Luger G.F. "Expert system support for
environmentally conscious manufacturing." International Journal of
Environmentally Conscious Manufacturing. Albuquerque: ECM Press (1995).
- Luger, G.F.(ed). "Computation and Intelligence: Collected Readings.",
Cambridge: AAAI/MIT Press (1995).
- Westervelt, R.T., Klein, W.B., and Luger, G.F., "Framework for a General
Purpose, Intelligent Control System for Particle Accelerators." In
Proceedings for International Conference for High Energy Accelerators,
Dallas (1995)
- Luger, G.F. (with Johnson, P., Stern, C., Newman, J. and Yeo, R.).
Cognitive Science: The Science of Intelligent Systems. Boston, MA:
Academic Press (1994).
- Luger, G.F. Artificial Intelligence and the Design of Expert
Systems. A four-day short course for Learning Group International, Los
Angeles, CA. First published 1983; revised annually to 1994.
- Luger, G.F. Forward for Expert Systems: Design and Development,
John Durkin, ed. New York, NY: Macmillan (1994).
- Ballance, R.A., Giancola, A.J., Luger, G.F., and Ross, T.J. "A
framework-based environment for object-oriented codes." Scientific
Programming. New York, NY: John Wiley (1994).
- Skinner, J.M., and Luger, G.F. "Contributions of a case based reasoner to
an integrated reasoning system." Journal of Intelligent Systems.
London, U.K.: Freund (1994).
- Ballance, R.A., Giancola, A.J., Luger, G.F., and Ross, T.J. "A
framework-based environment for object-oriented scientific codes."
Proceedings of Object-Oriented Numerics Conference-SKI 93. A SIAM
Conference, April 1993.
- Parkinson, W.J., Shalek, P.D., Luger, G.F., Duerre, K.H., and Jamshidi, M.
"Two intelligent control systems for silicon carbide whisker production."
Journal of Intelligent and Fuzzy Systems, Vol. I (1993), pp. 199-214.
New York, NY: John Wiley & Sons, Inc.
- Parkinson, W.J., Osowaski, J.J., Luger, G.F., and Bretz, B. "Expert system
for selecting enhanced oil recovery methods." Computers and Electrical
Engineering, Special Edition on Artificial Intelligence and Expert
Systems, Winter 1993.
- Luger, G.F. and Skinner, J.M. "An integrated reasoner for diagnosis in
satellite control." Proceedings of Conference on Applications of Artificial
Intelligence XI: Knowledge Based Systems in Aerospace and Industry, 1993.
- Luger, G.F. and Stern, C. "A model for abductive problem solving based on
explanation templates and lazy evaluation." International Journal of Expert
Systems, Vol. 4, 1993.
- Luger, G.F. and Stern, C. "Towards a sign-based theory of abduction."
International Journal of Artificial Intelligence, 1993.
- Luger, G.F. and Stubblefield, W.A. Artificial Intelligence: Structures
and Strategies for Complex Problem Solving. Palo Alto, CA: Benjamin
Cummings, 2nd Ed. (1993).
- Luger, G.F., Ross, T., and Wagner, L. "Object-oriented Programming for
scientific codes I: Thoughts and concepts." J. Computing in Civil
Engineering, Vol. 6, No. 4 (1992), pp. 480-496.
- Luger, G.F., Ross, R., and Wagner, L. "Object-oriented programming for
scientific codes II: Examples in C++." J. Computing in Civil
Engineering, Vol. 6, No. 4 (1992), pp. 497-514.
- Luger, G.F., Ross, T.J., Morrow, J.P., and Wagner, L.R. "Two paradigms for
object-oriented programming models for scientific applications."
Proceedings of the 8th Conference of Computing in Civil Engineering.
New York, NY: American Society of Civil Engineers Publications (1992), pp.
535-542.
- Luger, G.F. and Schluter, L. Expert Systems to Aid in Wind Farm
Operations. Engineering for a Sustained Environment Conference, sponsored
by The American Society of Mechanical Engineers, January 1992.
- Luger, G.F. and Skinner, J.M. "An architecture for integrating reasoning
paradigms." In Principles of Knowledge Representation and Reasoning, B.
Nobel, C. Rich, W. Swartout, eds. San Mateo, CA: Morgan-Kaufmann (1992).
- Luger, G.F. and Stubblefield, W.A. "Rule based expert systems." In
Computer Engineering Handbook, C.H. Chen, ed. New York, NY: McGraw-Hill
(1992).
- Luger, G.F. and Stern, C. "Expert systems and the abductive circle." In
Cognition and Semiotics, R. Jorna, ed. Berlin: de Gruyter Verlag
(1992). This was an invited paper in Conference on Semiotics and Systems,
Groningen, the Netherlands, December 1991.
- Luger, G.F., Parkinson, W.J. et al. "Screening enhanced oil recovery
methods with fuzzy logic." In Third International Reservoir
Characterization Technical Conference, sponsored by National Institute for
Petroleum and Energy Research, November 1991.
- Luger, G.F. and Parkinson, W.J. "Three CLIPS based expert systems for
solving engineering problems." In Proceedings of First CLIPS
Conference, sponsored by NASA, Johnson Space Center, Houston, 1991.
- Luger, G.F. and Skinner, J.M. "A synergistic approach to reasoning for
autonomous satellites." In Proceedings for NATO Conference of the Advisory
Group for Aerospace Research and Development, Portugal, 1991.
- Luger, G.F. and Stubblefield, W.A. "Artificial intelligence." In
MacMillan Encyclopedia of Computer Science. New York, NY: MacMillan
(1991).
luger@cs.unm.edu,
505-277-3204