Summary

Professor, Systems Engineering and Operations Research, George Mason University Associate Director, GMU's Center of Excellence in Command, Control, Communications, Computing and Intelligence (C4I Center)

Information

Faculty webpage: http://seor.gmu.edu/~klaskey/
SEOR website: http://seor.gmu.edu/
C$I Center: http://c4i.gmu.edu/

Email: klaskey@gmu.edu
Phone: (703) 993-1644
Address: Room 2214 Nguyen Engineering Building
George Mason University
Fairfax, VA 22030 USA

Biosketch

BS in Mathematics from the University of Pittsburgh
Masters in Mathematics from the University of Michigan
PhD in Statistics and Public Affairs from Carnegie Mellon University.

Curriculum Vitae

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Research Program

My broad research interest is the use of information technology to support better inference and decision making. Within this broad area, I have worked on the application of decision theory to intelligent decision and inference support systems. I have worked on understanding the proper role of normative, behavioral, and computational theories in the modeling and support of decision making. My main areas of interest include:

• Knowledge representations for reasoning about uncertain phenomena
• Construction of problem-specific probability and decision models from a generic knowledge base
• Development of a large knowledge base for reasoning about the behavior of military units using background knowledge and incoming intelligence reports
• Methods for combining expert knowledge and data to learn both structure and parameters of probability models

Role as an Educator

I teach courses in systems engineering, decision theory, and decision support systems. Education is a lifelong process of bringing out an individual’s unique potential. Although the ultimate responsibility and the ultimate reward lie with the student , a teacher can do much to facilitate or to repress a student’s joy in learning and willingness to stretch beyond the horizons of his or her current knowledge and worldview. My primary objective in teaching is to spark in students the excitement I feel a bout the subject matter. I aim to give students the basic knowledge and the confidence they need to be able to follow their curiousity where it leads them. Information about courses I teach is available online.

Courses

These are courses I currently teach on a regular basis.  SYST 210 (formerly SYST 301) is offered every Fall semester. I am the regular teacher.  SYST 542 is offered most years during Fall or Spring, and occasionally during the Summer, depending on demand and faculty availability.  I teach it regularly. It is not being offered in Academic Year 2007/08, but is planned for Academic Year 2008/09.  SYST / STAT 664 is offered every other Spring semester.  The next planned offering is Spring 2009.  OR/STAT 719 is usually offered every other Fall semester. This year, it  is being offered in Spring 2008.  I also teach other courses on an occasional basis.  OR 680 is the capstone project course for the MS degree in Operations Research.  SYST 798 is the capstone project course for the MS degree in Systems Engineering.  The capstone project courses are offered every semester.  I am teaching these courses in Spring 2008.

SYST210: System Design

SYST 542:  Decision Support Systems Engineering

SYST/STAT 664: Bayesian Inference and Decision Theory

OR/STAT 719: Graphical Models for Inference and Decision Making

OR 680 / SYST 798: Applications Seminar / Research Project

Publications

Journal Papers

• Laskey, K.B., Wright, E.J. and Costa, P. Envisioning Uncertainty in Geospatial Information. International Journal of Approximate Reasoning, 51(2): 209-223, 2010.
• Laskey, K.B. and Laskey, K.J. Service Oriented Architectures. WIREs Computational Statistics 1: 101-105. doi: 10.1002/wics.8
• Xu, N. Sherry, L., Laskey, K.B. Multifactor Model for Predicting Delays at U.S. Airports. Journal of the Transportation Research Board, 2052: 62-71, 2008. (also presented at Transportation Research Board, 88th Annual Meeting, Washington DC,  January 11-15, 2008.
• Laskey, K.B., MEBN: A Language for First-Order Bayesian Knowledge Bases, Artificial Intelligence, 172(2-3): 140-178, 2008.
• Laskey, K.B. Quantum Physical Symbol Systems. Journal of Logic, Language and Information, 15(1): 109-154, 2006.
• Laskey, K.B. and Myers, J.M., Population Markov Chain Monte Carlo, Machine Learning, 50(1): 175-196, 2003.
• Laskey, K.B., d’Ambrosio, B., Levitt, T. and Mahoney, S., Limited Rationality in Action: Decision Support for Military Situation Assessment, Minds and Machines, 10(1): 53-77, 2000.
• Martignon, L., Deco, G., Laskey, K., Diamond, M., Freiwald, W., and Vaadia, E. Neural Coding:  Higher Order Temporal Patterns in the Neurostatistics of Cell Assemblies, Neural Computation, 12(11): 2621-2653, 2000.
• Laskey, K.B. and Mahoney, S.M.  Network Engineering for Agile Belief Network Models.  IEEE Transactions in Knowledge and Data Engineering, 26(3): 487-498, 2000.
• Levitt, T. and Laskey, K.B., Computational Inference for Evidential Reasoning in Support of Judicial Proof, Cardozo Law Review, 22: 1691-1731, 2000.
• Laskey, K.B.  Model Uncertainty:  Theory and Practical Implications, IEEE Transactions on Systems, Man and Cybernetics, 12(4): 340-348, 1995.
• Laskey, K.B.  Sensitivity Analysis for Probability Assessments in Bayesian Networks, IEEE Transactions on Systems, Man and Cybernetics 25(6): 901-909, 1995.
• Laskey, K.B. and Lehner, P.E.,  Meta Reasoning and the Problem of Small Worlds, IEEE Transactions on Systems, Man and Cybernetics 24(11): 1643-1652, 1994.
• Laskey, K.B.  Bounded Rationality and Search over Small World Models, International Journal of Approximate Reasoning 11(4):  361-384, 1994.
• Adelman, L.A., Cohen, M.S., Bresnick, T.A., Chinnis, J.O., Laskey, K.B. Real-Time Expert System Interfaces, Cognitive Processes, and Task Performance:  An Empirical Assessment, Human Factors, 35(2): 243-261, 1993.
• Laskey, K.B.  Adapting connectionist learning to Bayes networks.  International Journal of Approximate Reasoning, 4(4): 261-282, 1990.
• Laskey, K.B., and Lehner, P.E.  Assumptions, beliefs and probabilities.  Artificial Intelligence, 41: 65-77, 1989.
• Laskey, K.B., Cohen, M.S., and Martin, A.W.  Representing and eliciting knowledge about uncertain evidence and its implications.  IEEE Transactions on Systems, Man and Cybernetics, 19(3), 536-545, 1989.
• Fischer, G.W., Damodaran, N., Laskey, K.B., and Lincoln, D.  Assessing preferences for proxy attributes.  Management Science, 33(2): 198-214, 1987.
• Laskey, K.B. and Fischer, G.W.  Estimating utility functions in the presence of response error.  Management Science, 33(8): 965-980, 1987.
• Holland, P.W., Laskey, K.B., and Leinhardt, S.  Stochastic Blockmodels:  First Steps.  Social Networks 5: 109-137, 1983.

Book chapters

• Costa, Paulo C. G.; Herencia-Zapana, Heber; and Laskey, Kathryn B. Uncertainty Representation and Reasoning for Combat Models. Chapter 28 in Engineering Principles of Combat Modeling and Distributed Simulation, Andreas Tolk (ed.). pp. 715-745, John Wiley & Sons, Inc.: Hoboken, NJ, 2012.
• Matsumoto, S., Carvalho, R.,  Costa, P., Laskey, K.B., Santos, L.L. and Ladeira, M. There’s No More Need to be a Night OWL: on the PR-OWL for a MEBN Tool Before Nightfall. in Introduction to the Semantic Web: Concepts, Technologies and Applications, G. Fung, Ed. iConcept Press, 2011, pp. 267-289.
• Carvalho, R., Laskey, K.B., Costa, P., Ladeira, M., Santos, L., and Matsumoto, S., UnBBayes: Modeling Uncertainty for Plausible Reasoning in the Semantic Web. In: Gang Wu (ed.),  Semantic Web, IN-TECH Publishing, 2010, ISBN: 978-953-7619-33-6.
• Laskey, K.B. and Costa, P. C. G. Uncertainty Representation and Reasoning in Complex Systems. In Tolk, A. and Jain, L. (Eds) Complex Systems in Knowledge-based Environments: Theory, Models and Applications. Studies in Computational Intelligence, Vol. 168  Springer-Verlag, 2009.  ISBN: 978-3-540-88074-5.
• Costa, P. C. G., Laskey, K.B. and Lukasiewicz, T. Uncertainty Representation and Reasoning in the Semantic Web, in Semantic Web Engineering in the Knowledge Society, Idea Information Science, 2009.
• Costa, Paulo C. G.; Laskey, Kathryn B.; and Laskey, Kenneth J. (2008) PR-OWL: a Bayesian Language for the Semantic Web. In Uncertainty Reasoning for the Semantic Web I. Costa, Paulo C. G. et al. (eds.) LNAI 5327, pp. 88-107. Springer-Verlag: Berlin/Heidelberg, Germany. ISBN: 978-3-540-89764-4.
• Daniels, D. C., Hudson, L. D., Laskey, K.B.,  Mahoney, S. M., Ware, B. S., and Wright, E. J., Terrorism Risk Management, in Pourret, O. Marcot, B. and Na�m, P. Bayesian Networks: A Practical Guide to Applications. New York, NY, USA: John Wiley & Sons, 2008, pp. 239-262.
• Alemi, F., Vang, J. and Laskey, K.B. Root Cause Analysis, in Decision Analysis for Healthcare Managers, Health Administration Press, 2006, pp. 169-186.
• Martignon, L. and Laskey, K.B.,  Taming Wilder Demons:  Bayesian Benchmarks for Fast and Frugal Heuristics, in Gigerenzer, G., Todd, P., and the ABC Group.  Simple Heuristics that Make us Smart. Oxford University Press, 1999, pp. 169-188.
• Laskey, K.B. and Campbell, V.N.  Evaluation of an intermediate level decision analysis course.  In J. Baron and R.V. Brown (Eds.), Teaching Decision Making to Adolescents.  Lawrence Erlbaum and Associates, 1991, pp. 123-146.
• Campbell, V.N. and Laskey, K.B.  Institutional strategy for teaching decision making in schools.  In J. Baron and R.V. Brown (Eds.), Teaching Decision Making to Adolescents.  Lawrence Erlbaum and Associates, 1991, pp. 297-308.
• Laskey, K.B. and Lehner, P.E.  Belief maintenance:  An integrated approach to uncertainty management.  In G. Shafer and J. Pearl (Eds.), Readings in Uncertain Reasoning.  San Mateo, CA:  Morgan Kaufmann Publishers, Inc., 1990, , pp. 694-698.  (Originally published in Proceedings of the Seventh Annual Conference on Artificial Intelligence, 1988).

Conference Proceedings – Conferences Ranked A by CORE

• Blasiak, S., Rangwala, H. and Laskey, K. A Family of Feed-forward Models for Protein Sequence Classification, Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Bristol, UK, September, 2012.
• Sun, W., Hanson, R., Laskey, K. and Twardy, C. Probability and Asset Updating using Bayesian Networks for Combinatorial Prediction Markets. Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, August 2012. Catalina Island, USA, August 2012.
• Wang, P., Domeniconi, C., Rangwala, H. and Laskey, K.B. Feature Enriched Nonparametric Bayesian Co-clustering, in Proceedings of the 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Kuala Lumpur, Malaysia, May 29 – June 1, 2012.
• Blasiak, S., Rangwala, H and Laskey, K. Beam Methods for the Profile HMM, in Proceedings of the SIAM International Conference on Data Mining, Anaheim, CA, April 26-28, 2012.
• Wang, P. Laskey, K.B., Domeniconi, C.,and Jordan, M.M. Nonparametric Bayesian Co-clustering Ensembles, in Proceedings of the SIAM International Conference on Data Mining, Mesa, Arizona, April 28-30, 2011, pp. 331-342. Winner of Best Student Paper Prize.
• Wang, P., Domeniconi, C. and Laskey, K.B. Nonparametric Bayesian Clustering Ensembles, in Proceedings of the European Conference on Machine Learning and Principles and Practise of Knowledge Discovery in Databases, Barcelona, Spain, September 21-23, 2010pp. 435-450.
• Wang, P., Domeniconi, C. and Laskey, K.B. Latent Dirichlet Bayesian Co-Clustering, in Proceedings of the European Conference on Machine Learning and Principles and Practise of Knowledge Discovery in Databases, Bled, Slovenia, September 7-11, 2009, pp. 522-537.
• Costa, P. and Laskey, K.B. PR-OWL: A Framework for Probabilistic Ontologies. Proceedings of the Conference on Formal Ontologies and Information Systems, November 2006, pp. 237-249.
• Laskey, K.B., Xu, N. and Chen, C.H. Propagation of Delays in the National Airspace System. Uncertainty in Artificial Intelligence: Proceedings of the Twenty-Second Conference, AUAI Press, 2006, , pp. 265-272.
• Laskey, K.B. and Costa, P. Of Starships and Klingons:  Bayesian Logic for the 23rd Century. Uncertainty in Artificial Intelligence: Proceedings of the Twenty-First Conference, AUAI Press, 2005, pp. 346-353.
• Laskey, K.B., Mahoney, S.M. and Wright, E. Hypothesis Management in Situation-Specific Network Construction, Uncertainty in Artificial Intelligence:  Proceedings of the Seventeenth Conference, San Mateo, CA:  Morgan Kaurman, 2001, pp. 301-309.
• Barry, P. and Laskey, K.B.  An Application of Uncertain Reasoning to Requirements Engineering. Uncertainty in Artificial Intelligence:  Proceedings of the Fifteenth Conference, San Mateo, CA:  Morgan Kaurman, 1999, pp. 41-48.
• Mahoney, S.M. and Laskey, K.B. Representing and Combining Partially  Specified Conditional Probability Tables. Uncertainty in Artificial Intelligence:  Proceedings of the Fifteenth Conference, San Mateo, CA:  Morgan Kaurman, 1999, pp. 391-400.
• Myers, J., Laskey, K. B. and Levitt, T.S. Learning Bayesian Networks from Incomplete Data with Stochastic Search Algorithms. Uncertainty in Artificial Intelligence:  Proceedings of the Fifteenth Conference, San Mateo, CA:  Morgan Kaurman, 1999, pp. 476-485.
• Myers, J., Laskey, K.B. and deJong, K.  Learning Bayesian Networks from Incomplete Data Using Evolutionary Algorithms.  Proceedings of the Genetic and Evolutionary Computation Conference, 1999, pp. 458-465.
• Mahoney, S.M. and Laskey, K.B., Constructing Situation Specific Belief Networks. Uncertainty in Artificial Intelligence:  Proceedings of the Fourteenth Conference, San Mateo, CA:  Morgan Kaurman, 1998, pp. 370-378.
• Laskey, K.B. and Mahoney, S.M., Network Fragments:  Representing Knowledge for Constructing Probabilistic Models. Uncertainty in Artificial Intelligence:  Proceedings of the Thirteenth Conference, San Mateo, CA:  Morgan Kaufman, 1997, pp. 334-341.
• Martignon, L., Laskey, K.B., Deco, G. and Vaadia, E. Learning Exact Patterns of Quasi-synchronization among Spiking Neurons from Data on Multi-Unit Recordings. Advances in Neural Information Processing Systems 9, 1997, pp. 76-82.
• Mahoney, S.M. and Laskey, K.B.,  Network Engineering for Complex Belief Networks.  Uncertainty in Artificial Intelligence:  Proceedings of the Twelfth Conference, San Mateo, CA:  Morgan Kaufman, 1996, pp. 389-396.
• Laskey, K.B. and Martignon, L.  Bayesian Learning of Loglinear Models for Neural Connectivity.  Uncertainty in Artificial Intelligence:  Proceedings of the Twelfth Conference, San Mateo, CA:  Morgan Kaufman, 1996, pp. 373-380.
• Laskey, K.B.  Sensitivity Analysis for Probability Assessments in Bayesian Networks.  Uncertainty in Artificial Intelligence:  Proceedings of the Ninth Conference, San Mateo, CA:  Morgan Kaufman, 1993, pp. 136-142.
• Laskey, K.B.  The Bounded Bayesian.  Uncertainty in Artificial Intelligence:  Proceedings of the Eighth Conference, San Mateo, CA:  Morgan Kaufmann, 1992, pp. 159-165.
• Laskey, K.B.  Bayesian Meta-Reasoning:  Determining Model Adequacy from Within a Small World.   Uncertainty in Artificial Intelligence:  Proceedings of the Eighth Conference, San Mateo, CA:  Morgan Kaufmann, 1992, pp. 155-158.
• Laskey, K.B.  Conflict and surprise:  Heuristics for model revision.  In D’Ambrosio, B.D., P. Smets, and P.P. Bonissone (eds.)  Uncertainty in Artificial Intelligence:  Proceedings of the Seventh Conference, San Mateo, CA:  Morgan Kaufmann, 1991, pp. 197-204. Google Scholar citations 32
• Laskey, K.B.  A probabilistic reasoning environment.  In Proceedings of the Sixth Conference on Uncertainty in Artificial Intelligence, Boston, MA, 415-422.  Association for Uncertainty in Artificial Intelligence, Mountain View, CA, 1990, pp. 415-422.
• Black, P.K. and Laskey, K.B.  Hierarchical evidence and belief functions.  In L. Kanal, T. Levitt, and R. Shachter (Eds.), Uncertainty in Artificial Intelligence 4, North-Holland Press, 1989, pp. 207-215.  (Iriginally published in Proceedings of the Fourth Workshop on Uncertainty in Artificial Intelligence.)
• Laskey, K.B.  Belief in belief functions:  An examination of Shafer’s canonical examples.  In L. Kanal, T. Levitt, and J. Lemmer (Eds.), Uncertainty in Artificial Intelligence 3, North Holland Press, 1988, pp. 39-46.  (This paper was originally published in Proceedings of the Third  Workshop on Uncertainty in Artificial Intelligence.)

Other Refereed Conference and Workshop Papers

• Sun, W., Hanson, R., Laskey, K.B. and Twardy, C. Trade-Based Asset Models for Combinatorial Prediction Markets. Proceedings of the Eleventh UAI Bayesian Modeling Applications Workshop. Quebec, Canada, July 2014. (published as abstract; full paper available on request)
• De Villiers, Johan Pieter; Pavlin, Gregor; Costa, Paulo C. G.; Laskey, Kathryn; Jousselme, Jousselme A URREF Interpretation of Bayesian Network Information Fusion. Proceedings of the Seventeenth International Conference on Information Fusion (FUSION 2014). Salamanca, Spain: July 9-12, 2014.
• Park, Cheol Y.; Laskey, Kathryn; Costa, Paulo C. G.; and Matsumoto, Shou. A Predictive Situation Awareness Reference Model using Multi-Entity Bayesian Networks. Proceedings of the Seventeenth International Conference on Information Fusion (FUSION 2014), Salamanca, Spain, 2014.
• Haberlin, Richard; Costa, Paulo C. G.; and Laskey, Kathryn B. A Probabilistic Ontology Development Methodology. Proceedings of the Nineteenth International Command and Control Research and Technology Symposium (ICCRTS 2014). Alexandria, VA: June 16-19, 2014.
• Haberlin, Richard; Costa, Paulo C. G.; and Laskey, Kathryn B. Probabilistic Ontology Architecture for a Terrorist Identification Decision Support System. Proceedings of the Nineteenth International Command and Control Research and Technology Symposium (ICCRTS 2014). Alexandria, VA: June, 16-19, 2014.
• Rafatirad, S., Laskey, K.B. and Costa, P. Context Correlation Using Probabilistic Semantics. Proceedings of the Eighth Conference on Semantic Technologies for Intelligence, Defense, and Security (STIDS 2013), November 2013. http://ceur-ws.org/Vol-1097/
• Haberlin, R., Costa, P. and Laskey, K. A Reference Architecture for Probabilistic Ontology Development. Proceedings of the Eighth Conference on Semantic Technologies for Intelligence, Defense, and Security (STIDS 2013), November 2013. http://ceur-ws.org/Vol-1097/
• Powell, W.A., Hanson, R., Laskey, K.B. and Twardy, C. Combinatorial Prediction Markets: An Experimental Study.  Proceedings of the Seventh International Conference on Scalable Uncertainty Management (SUM 2013). Alexandria, VA, September, 2013.
• Rafatirad, S. and Laskey, K.B. Transforming Personal Artifacts into Probabilistic Narratives. Proceedings of Big Data meet Complex Models — A UAI Application Workshop. Bellevue, Washington, July 2013. http://ceur-ws.org/Vol-1024/
• Sun, W., Hanson, R., Laskey, K.B. and Twardy, C. Learning Parameters by Prediction Markets and Kelly Rule for Graphical Models. Proceedings of Big Data meet Complex Models — A UAI Application Workshop. Bellevue, Washington, July 2013.
• Park, C. Y.; Laskey, K. B.; and Costa, Paulo C.G.  Multi-Entity Bayesian Networks Learning For Hybrid Variables In Predictive Situation Awareness. In Proceedings of the Sixteenth International Conference on Information Fusion (FUSION 2013). Istanbul, July 2013.
• Park, C.Y., Laskey, K.B., Costa, P. and Matsumoto, S. Multi-Entity Bayesian Networks Learning in Predictive Situation Awareness. Proceedings of the Eighteenth International Command and Control Research and Technology Symposium (ICCRTS 2013). June, 2013.
• Laskey, K.B. Crowdsourced Decision Support for Emergency Responders. Proceedings of the Eighteenth International Command and Control Research and Technology Symposium (ICCRTS 2013). June, 2013. Winner, Best Paper Award.
• Blasch, E., Costa, P., Laskey, K., Ling, H. and Chen, G. The URREF Ontology for Semantic Wide Area Motion Imagery Exploitation. Proceedings of the Seventh International Conference on Semantic Technologies for Intelligence, Defense, and Security (STIDS 2012), October 2012. http://ceur-ws.org/Vol-966/
• Park, C.Y., Laskey, K.B., Costa, P. and Matsumoto, S. Study of MEBN Learning for Relational Model. Proceedings of the Seventh International Conference on Semantic Technologies for Intelligence, Defense, and Security (STIDS 2012), October 2012. http://ceur-ws.org/Vol-966/
• Costa, P. C. G., Laskey, K. B., Chang, KC, Sun, W., Park, C.Y., and Matsumoto, S.  High-Level Information Fusion with Bayesian Semantics. Proceedings of the Ninth Bayesian Modeling Applications Workshop, held at the Conference on Uncertainty in Artificial Intelligence (BMAW UAI 2012). Catalina Island, CA, August 18th, 2012.
• Costa, P., Laskey, K., Blasch, E., and Jousselme, A.L. Towards Unbiased Evaluation of Uncertainty Reasoning: The URREF Ontology. Proceedings of the Fifteenth International Conference on Information Fusion, July 2012.
• Laskey, K.B., Haberlin, R., Costa, P. and Carvalho, R. PR-OWL 2 Case Study: A Maritime Domain Probabilistic Ontology. Proceedings of the Sixth International Conference on Semantic Technologies for Intelligence, Defense, and Security (STIDS 2011), November 2011.
• Carvalho, R.N., Haberlin, R., Costa, P., Laskey, K.B. and Chang, K.C., Modeling a Probabilistic Ontology for Maritime Domain Awareness. Proceedings of the Fourteenth International Conference on Information Fusion, July 2011.
• Costa, P., Carvalho, R.N., Laskey, K.B. and Park, C.Y., Evaluating Uncertainty Representation and Reasoning in HLF Systems. Proceedings of the Fourteenth International Conference on Information Fusion, July 2011
• Haberlin, R., Costa, P.; and Laskey, K.B. An Ontology for Hypothesis Management in the Maritime Domain. Proceedings of the Sixteenth International Command and Control Research and Technology Symposium (ICCRTS 2011). June, 2011.
• Levitt, T.S., Leister, K., Woodaman, R.F., Askvig, J.K., Laskey, K.B., and Hayes-Roth, F. Valuing Persistent ISR Resources. Critical Issues in C4I: AFCEA-GMU Symposium, 2011, 7 pages.
• R. N. Carvalho, K. B. Laskey, and P. C. G. da Costa, PR-OWL 2.0 – Bridging the Gap to OWL Semantics, in Proceedings of the 6th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2010), collocated with the 9th International Semantic Web Conference (ISWC 2010), 2010, pp. 73-84.
• Haberlin, R., Costa, P. and Laskey, K.B. A Model Based Systems Engineering Approach to Hypothesis Management, Proceedings of the Third International Conference on Model-Based Systems Engineering, September 2010.
• Costa, P., Chang, KC, Laskey, K.B., Levitt, T.S. High-Level Fusion: Steps Toward a Formal Theory. Proceedings of the Thirteenth International Conference on Information Fusion, July 2010.
• Carvalho, R.N., Costa, P.C., Laskey, K.B. and Chang, KC. PROGNOS: Predictive Situational Awareness with Probabilistic Ontologies. Proceedings of the Thirteenth International Conference on Information Fusion, July 2010.
• Sun, W., Chang, KC and Laskey, K.B., Scalable Inference for Hybrid Bayesian Networks with Full Density Estimations. Proceedings of the Thirteenth International Conference on Information Fusion, July 2010.
• Costa, P.; Zeigler, B.; Hieb, M.; and Laskey, K.B. Probabilistic Ontologies And Pragmatics For Complex Systems Integration. Proceedings of the Fifteenth International Command and Control Research and Technology Symposium (ICCRTS 2010). June, 2010.
• Powell, W.A., Johnson, R., Adelman, Laskey, K.B., L., Altenau, M., Goldstein, A., Braswell, K., and Gupta, V. Using Formative Evaluations to Assess the Potential Value of Geospatial Decision Support Products During Development. Proceedings of the Fifteenth International Command and Control Research and Technology Symposium (ICCRTS 2010). June, 2010.
• Wang, P., Domeniconi, C. and Laskey, K.B. Information Bottleneck Co-clustering, in Proceedings of the Workshop on Text Mining, held in conjunction with the SIAM International Conference on Data Mining, Columbus, Ohio, May 1st, 2010.
• Twardy, C., Wright, E., Laskey, K.B., Levitt, T.S. and Leister, K. Analytical Support for Rapid Initial Assessment of Counter-IED Initiatives. Critical Issues in C4I: AFCEA-GMU Symposium 2010.
• Costa, P., Chang, KC, Laskey, K.B., and Carvalho, R. High Level Fusion and Predictive Situational Awareness with Probabilistic Ontologies. Critical Issues in C4I: AFCEA-GMU Symposium 2010.
• Woodaman, R.F., Loerch, A. and Laskey, K.B., A Decision Analytic Approach for Measuring the Value of Counter-IED Solutions at the Joint Improvised Explosive Device Defeat Organization. Critical Issues in C4I: AFCEA-GMU Symposium 2010.
• Powell, W.A., Laskey, K.B., Adelman, L., Johnson, R., Altenau, M., Goldstein, A., Visone, D., and Braswell, K. Evaluation of High Resolution Imagery and Elevation Data. Proceedings of the 14th International Command and Control Research and Technology Symposium (ICCRTS09), June 2009.
• Powell, W.A., Laskey, K.B., Adelman, L., Johnson, R., Dorgan, Klementowski, C., Goldstein, A., Yost, R., Visone, D., & Braswell, K. (2009). Results of an experimental exploration of advanced automated geospatial tools: Agility in complex planning. Proceedings of the 14th International Command and Control Research and Technology Symposium (ICCRTS09), June 2009.
• Costa, P., Laskey, K.B., Chang, KC, PROGNOS: Applying Probabilistic Ontologies to Distributed Predictive Situation Assessment in Naval Operations, Proceedings of the Fourteenth International Command and Control Research and Technology Conference (ICCRTS 2009), June 2009. Best paper award for the Collaborative Technologies for Network-Centric Operations Track.
• Carvalho, R.N., Laskey, K.B., Costa, P.C. Ladeira, M., Santos, L.L., Matsumoto, S. Probabilistic Ontology and Knowledge Fusion for Procurement Fraud Detection in Brazil. Proceedings of the Fifth Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2009): 3-14.
• Laskey, K.B. Axiomatic First-Order Probability. Proceedings of the Fifth Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2009): 51-62
• Costa, Paulo C. G.; Chang, KC; Laskey, Kathryn B.; and Carvalho, Rommel N.  A Multi-Disciplinary Approach to High Level Fusion in Predictive Situational Awareness. Proceedings of the Eleventh International Conference of the Society of Information Fusion (Fusion 2009), July, 2009.
• Twardy, C., Wright, E., Laskey, K., Levitt, T., and Leister, K. Rapid Initiative Assessment for Counter IED Investment. Proceedings of the Seventh Bayesian Applications Modeling Workshop, June, 2009.
• Laskey, Kathryn B.; Schum, David A.; Costa, Paulo C. G.; and Janssen, T. (2008) Ontology of Evidence. In Proceedings of the Third International Ontology for the Intelligence Community Conference (OIC 2008). December 3-4, 2008, Fairfax, VA, USA.
• Laskey, K. B., Laskey, K. J. Uncertainty Reasoning for the World Wide Web: Report on the URW3-XG Incubator Group. Proceedings of the Fourth Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2008), International Semantic Web Conference, 2008.
• Powell, W.A.,  Laskey, K.B., Adelman, L., Dorgan, S., Johnson, R., Klementowski, C., Yost, R., Visone, D., and Braswell, K. Evaluation of Advanced Automated Geospatial Tools: Agility in Complex Planning. Proceedings of the 13th International Command and Control Research and Technology Symposium (ICCRTS08), July 2008.
• Laskey, K.B., Costa, P., and Janssen, T. Probabilistic Ontologies for Knowledge Fusion. Proceedings of the 11th International Conference on Information Fusion, 2008.
• Costa, P., Ladeira, M., Carvalho, R.N., Laskey, K.B., Lima, La�cio, Matsumoto, S.  A First-Order Bayesian Tool for Probabilistic Ontologies. Proceedings of the Florida AI Research Symposium (FLAIRS), 2008.
• Laskey, K. B. A Causal Agent Quantum Ontology, Proceedings of the Second Annual Quantum Interaction Symposium, 2008.
• Laskey, K.B., Wright, E.J. and Costa, P. Envisioning Uncertainty in Geospatial Data. Proceedings of the 5th UAI Bayesian Modeling Applications Workshop, July, 2007.
• Laskey, K.B., Costa, P., Wright, E.J., and Laskey, K.J., Probabilistic Ontology for Net-Centric Fusion, Proceedings of the Tenth International Conference on Information Fusion, July 2007.
• Laskey, K.B., Adelman, L., Powell, W.A., Hieb, M. and Kleiner, M. Evaluation of Advanced Automated Geospatial Tools, Proceedings of the 12th International Command and Control Research and Technology Symposium (ICCRTS07), July 2007.
• Costa, P., Laskey, K.B., Laskey, K.J., and Wright, E. Probabilistic Ontologies: The Next Step For Net-Centric Operations, Proceedings of the 12th International Command and Control Research and Technology Symposium (ICCRTS07), July 2007.
• Xu, N., Laskey, K. B., Sherry, L. Chen, C.H., and Williams, S.C.  Bayesian Network Analysis of Flight Delays. Proceedings of the Transportation Research Board 86th Annual Meeting Compendium of Papers CD-ROM, 2007.
• Laskey, K.B., Quantum Causal Networks, in Proceedings of the AAAI Spring Symposium on Quantum Interaction, AAAI Press, 2007.
• Martignon, L., Laskey, K.B. and Kurz-Milcke, E., Transparent Urns and Colored Tinker-Cubes for Natural Stochastics in Primary School. Proceedings of the Fifth Conference of the European Society for Research in Mathematics Education, February 2007. Google Scholar citations 3
• Laskey, Kenneth J.; Costa, Paulo C. G.; and Laskey, Kathryn B. (2006) Probabilistic Ontologies for Efficient Resource Sharing in Semantic Web Services. Proceedings of the Second Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2006), Fifth International Semantic Web Conference (ISWC 2006). November 5-9, 2006, Athens, GA, USA.
• Laskey, Kenneth J.; Costa, Paulo C. G.; and Laskey, Kathryn B. (2006) A Proposal for a W3C XG on Uncertainty Reasoning for the WWW. Proceedings of the Second Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2006), Fifth International Semantic Web Conference (ISWC 2006). November 5-9, 2006, Athens, GA, USA.
• Wright, E. and Laskey, K.B. Credibility Models for Multi-Source Fusion, Proceedings of the Ninth International Conference on Information Fusion, July 2006.
• Laskey, K. B., Costa, P., and Laskey, K. J. PR-OWL: A Bayesian Ontology Language for the Semantic Web. Proceedings of the Workshop on Uncertainty Reasoning for the Semantic Web, International Semantic Web Conference, 2005.
• Xu, N., Laskey, K.B., Donohue, G. and Chen, C.H., Estimation of Delay Propagation in the National Aviation System Using Bayesian Networks. Proceedings of the 6th USA/Europe Air Traffic Management Research and Development Seminar, 2005.
• Costa, P., Laskey, K.B., Fung, F., Pool, M., Takikawa, M. and Wright, E. MEBN Logic: A Key Enabler for Network Centric Warfare. Proceedings of the 10th Annual Command and Control Research and Technology Symposium, 2005. Best Student Paper, Modeling and Simulation Track; Honorable Mention for Best Student Paper Prize.
• AlGhamdi, G., Laskey, K.B., Wright, E., Barbara, D., and Chang, K.C. Modeling Insider Behavior Using Multi-Entity Bayesian Networks. Proceedings of the 10th Annual Command and Control Research and Technology Symposium, 2005. Best Student Paper, Information Operations & Assurance Track; Honorable Mention for Best Student Paper Prize.
• Fung, Francis, Laskey, K.B., Pool, M., Takikawa, M., and Wright, E. PLASMA: Combining Predicate Logic and Probability for Information Fusion and Decision Support. AAAI Spring  Symposium on Challenges to Decision Support in a Changing World, 2005
• Laskey, K.B., Alghamdi, G., Wang, X., Barbara, D., Shackleford, T., Wright, E., and Fitzgerald, J., Detecting Threatening Behavior Using Bayesian Networks,  Proceedings of the Conference on Behavioral Representation in Modeling and Simulation, 2004.
• Wright, E., Mahoney, S., Laskey, K., Takikawa, M. and Levitt, T. Multi-Entity Bayesian Networks for Situation Assessment, Proceedings of the Fifth International Conference  on Information Fusion, July 2002.
• Laskey, G. and Laskey, K.B.,  Combat Identification with Bayesian Networks, Proceedings of the Command and Control Research and Technology Symposium, Spring 2002.  Best Student Paper, Modeling and Simulation Track; Honorable Mention for Best Student Paper Prize.
• Wright E., Mahoney S.M., and Laskey K.B., Use of Domain Knowledge Models to Recognize Cooperative Force Activities, Proceedings of the 2001 MSS National Symposium on Sensor and Data Fusion, San Diego, CA, June 2001.
• Barry, P.B., Laskey, K.B. and Brouse, P. Development of Bayesian Networks from Unified Modeling Language Artifacts, Proceedings of the Software Engineering/Knowledge Engineering 2000 Conference, July 2000.
• Mahoney, S., Laskey, K., Wright, E., and Ng, KC, Measuring Performance for Situation Assessment, Proceedings of National Symposium on Sensor Data Fusion, 2000.
• Laskey, K.B., Learning Extensible Multi-Entity Directed Graphical Models, Proceedings of the Workshop on AI and Statistics, 1999.

Edited Volumes

• Laskey, K.B., Jones, J. and Almond, R. Proceedings of the Eleventh UAI Bayesian Modeling Applications Workshop. Quebec, Canada, July 2014. CEUR Workshop Proceedings. CEUR-WS.org, Vol. 1218.
• Laskey, K. B., Emmons, I. and  Costa, P. C. G. (eds.) Proceedings of the Eighth International Conference on Semantic Technologies for Intelligence, Defense and Security (STIDS 2013). November 12-15, 2012, Fairfax, VA, USA. CEUR Workshop Proceedings. CEUR-WS.org, Vol. 1097.
• Costa, P. C. G. and Laskey, K. B. (eds.) Proceedings of the Seventh International Conference on Semantic Technologies for Intelligence, Defense and Security (STIDS 2012). October 23-26, 2012, Fairfax, VA, USA. CEUR Workshop Proceedings. CEUR-WS.org, Vol. 808.
• Bobillo, F., Carvalho, R.N., Costa, P.C.G., Fanizzi, N., Laskey, K., Laskey, K., Lukasiewicz, T., Martin, T., Nickles, M. and Pool, M. (eds.) Proceedings of the Eighth Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2012). November 11, 2012, Boston, MA, USA. CEUR Workshop Proceedings. CEUR-WS.org, Vol. 900.
• Costa, P. C. G. and Laskey, K. B. (eds.) Proceedings of the Sixth International Conference on Semantic Technologies for Intelligence, Defense and Security (STIDS 2011). November 16-17, 2011, Fairfax, VA, USA. CEUR Workshop Proceedings. CEUR-WS.org, Vol. 808.
• Bobillo, F., Carvalho, R.N., Costa, P.C.G., D’Amato, C., Fanizzi, N., Laskey, K., Laskey, K., Lukasiewicz, T., Martin, T., Nickles, M. and Pool, M. (eds.) Proceedings of the Seventh Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2011). October 23, 2011, Bonn, GE. CEUR Workshop Proceedings. CEUR-WS.org, Vol. 778.
•  Costa, P. C. G. and Laskey, K. B. (eds.) Proceedings of the Fifth International Conference on Semantic Technologies for Intelligence, Defense and Security (STIDS 2010). October 27-28, 2011, Fairfax, VA, USA. CEUR Workshop Proceedings. CEUR-WS.org, Vol. 713.
• Bobillo, F., Carvalho, R.N., Costa, P.C.G., D’Amato, C., Fanizzi, N., Laskey, K., Laskey, K., Lukasiewicz, T., Martin, T., Nickles, M. and Pool, M. (eds.) Proceedings of the Sixth Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2010). October 23, 2011, Shanghai, China. CEUR Workshop Proceedings. CEUR-WS.org, Vol. 654.
• Costa, P. C. G.; Laskey, K. B.; and Obrst, L. (eds.) Proceedings of the 2009 International Conference on Ontologies for the Intelligence Community (OIC 2009). October 21-22, 2009, Fairfax, VA, USA. CEUR Workshop Proceedings. CEUR-WS.org, Vol. 555.
• Bobillo, F.; Costa, P. C. G.; d’Amato, C.; Fanizzi, N.; Laskey, K.; Laskey, K.; Lukasiewicz, T.; Martin, T.; Nickles, M.; Pool, M.; and Smrž, P. (eds.) Proceedings of the Fifth Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2009). October 26, 2009, Washington, DC, USA. CEUR Workshop Proceedings. CEUR-WS.org, Vol. 527.
• Laskey, K. B.; and Wijesekera, D. (eds.) Proceedings of the Third International Conference on Ontologies for the Intelligence Community (OIC 2008). December 3-4, 2008, Fairfax, VA, USA. CEUR Workshop Proceedings. CEUR-WS.org, Vol. 440.
• Costa, P. C. G.; D’Amato, C.; Fanizzi, N.; Laskey, K. B.; Laskey, K. J.; Lukasiewicz, T.; Nickles, M.; and Pool, M. (eds.) (2008) Uncertainty Reasoning for the Semantic Web I, LNAI 5327, XIV, 403 p., 2008. Springer-Verlag, Berlin/Heidelberg, Germany. ISBN: 978-3-540-89764-4.
• Bobillo, F.; Costa, P. C. G.; d’Amato, C.; Fanizzi, N.; Fung, F.; Lukasiewicz, T.; Martin, T.; Nickles, M.; Peng, Y.; Pool, M.; Smrž, P.; and Vojt�š, P. (eds.) Proceedings of the Fourth Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2008). October 26, 2008, Karlsruhe, Germany. CEUR Workshop Proceedings. CEUR-WS.org, Vol. 423.
• Laskey, K. J.; Laskey, K. B.; Costa, P. C.G.; Kokar, M. M.; Martin, T.; and Lukasiewicz, T. (eds.) Uncertainty Reasoning for the World Wide Web Incubator Group Report. World Wide Web Consortium, 2008.
• Bobillo, F.; Costa, P. C. G.; d’Amato, C.; Fanizzi, N.; Fung, F.; Lukasiewicz, T.; Martin, T.; Nickles, M.; Peng, Y.; Pool, M.; Smrž, P.; and Vojt�š, P, (eds.) Proceedings of the Third Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2007). November 12, 2007, Busan, Korea. CEUR Workshop Proceedings. CEUR-WS.org, Vol. 327.
• Laskey, K. J.; Laskey, K. B.; and Costa, P. C.G. (eds.) Uncertainty Reasoning for the World Wide Web Incubator Group Charter. World Wide Web Consortium, 2008.
• Laskey, K. B. and Goldsmith, J. Proceedings of the Fifth UAI Bayesian Modeling Applications Workshop (UAI-AW 2007), Vancouver, British Columbia, Canada, July 19, 2007. CEUR Workshop Proceedings, CEUR-WS.org vol, 268.
• Costa, P. C. G.; Fung, F.; Laskey, K. B.; Laskey, K.  J.; and Pool, M. (eds.) Proceedings of the Second Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2006). November 5, 2006, Athens, GA, USA. CEUR Workshop Proceedings. CEUR-WS.org, Vol. 218.
• Costa, P. C. G.; Laskey, K. B.; Laskey, K. J.; and Pool, M. (eds.) Proceedings of the First Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2005). November 7, 2005, Galway, Ireland. CEUR Workshop Proceedings. CEUR-WS.org, Vol. 173.
• Laskey, K.B. and Prade, H. (eds) UAI �99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm Sweden, July 30-August 1, 1999.

Selected Other Publications and Presentations

• Goldsmith, J. and Laskey, K.B.  Introduction to the special issue on Bayesian model views. International Journal of Approximate Reasoning, 51(2): 165-166, 2010.
• Wang, P. Laskey, K. and Domeniconi, C. Nonparametric Bayesian Methods for Relational Clustering, The Learning Workshop, Cliff Lodge, Snowbird, Utah, April 6-9, 2010.
• Laskey, K.J., Laskey, K.B., Costa, P.C.G., Kokar, M.M., Martin, T., and Lukasiewicz, T. Uncertainty Reasoning for the World Wide Web: Report of the Incubator Group, 31 March 2008.
• Laskey, K.B. and Laskey, K.J. Service Oriented Architecture. Invited focus article, WIRE�s Computational Statistics, John Wiley and Sons, 2007.
• Dybowski, R., Laskey, K.B. and Myers, J. Introduction to the Special Issue of Fusion of Domain Knowledge with Data for Decision Support. Journal of Machine Learning Research 4, 2004.
• Committee to Review the Scientific Evidence on the Polygraph, National Research Council. The Polygraph and Lie Detection. Washington, DC: National Academies Press, 2003.
• Laskey, K.B. and Levitt, T.S., Multisource Fusion for Probabilistic Detection and Opportunistic Assessment of Terrorist Threats, Aerosense 2002.
• Laskey, K. and Levitt, T, Uncertainty in Artificial Intelligence. Invited entry, Encyclopedia of the Social Sciences, 2002.
• Laskey, K.B., Bayesian Decision Theory, Subjective Probability and Utility. Invited entry, Encyclopedia of Operations Research and Management Science, S. Gass and C. Harris (eds), 1998, revised 2000.
• Cohen, M.L., Rolph, J.E., and Steffey, D.L. (eds) and the Panel on Statistical Methods for Testing and Evaluating Defense Systems, National Research Council. Statistics, Testing and Defense Acquisition. Washington, DC: National Academies Press, 1998.
• Lehner, P.E. and Laskey, K.B., An Introduction to Issues in Higher Order Uncertaity, IEEE Transactions on Systems, Man and Cybernetics 24(11), 1994.
• Meyer, M.M. and Fienberg, S. (eds) and the Panel to Review Evaluation Studies of Bilingual Education, Committee on National Statistics, National Research Council. Assessing Evaluation Studies: The Case of Bilingual Education Strategies. Washington, DC: National Academies Press, 1992.