Papers and Presentations

The following papers and presentations are available online. 

• Probabilistic Ontologies for Knowledge Fusion (with Paulo C. G. Costa and Terry Janssen) Proceedings of the 11th International Conference on Information Fusion, to appear July 2008.
• A First-Order Bayesian Tool for Probabilistic Ontologies (with Paulo C. G. Costa, Marcelo Ladeira, Rommel N. Carvalho, Laécio L. Santos, and Shou Matsumoto) - Florida AI Research Symposium (FLAIRS), May, 2008.
• MEBN: A Language for First-Order Bayesian Knowledge Bases - Artificial Intelligence, 172(2-3), 2007.
• Envisioning Uncertainty in Geospatial Information (with Edward Wright and Paulo Costa) Proceedings of the Fifth Bayesian Modeling Applications Workshop, July 2007.
• Probabilistic Ontology for Net-Centric Fusion (with Paulo Costa, Edward Wright and Kenneth Laskey), Proceedings of the Tenth International Conference on Information Fusion, July 2007.
• Evaluation of Advanced Automated Geospatial Tools (with L. Adelman, W. A. Powell, M. Hieb and M. Kleiner) Proceedings of the 12th International Command and Control Research and Technology Symposium (ICCRTS07), July 2007.
• Probabilitic Ontologies: The Next Step for Net-Centric Operations (with Paulo Costa, Kenneth Laskey, and Ed Wright) Proceedings of the 12th International Command and Control Research and Technology Symposium (ICCRTS07), July 2007.
• Quantum Causal Networks. Proceedings of the 2007 AAAI Spring Symposium on Quantum Interaction, March 2007.
• Transparent Urns and Colored Tinker-Cubes for Natural Stochastics in Primary School (with L. Martignon and E. Kurz-Milcke) - Proceedings of the Fifth Conference of the European Society for Research in Mathematics Education, February 2007.
• PR-OWL: A Framework for Probabilistic Ontologies (with Paulo Costa) - Proceedings of the Fourth International Conference on Formal Ontology in Information Systems, November 2006.
• Probabilistic Ontologies for Efficient Resource Sharing in Semantic Web Services (with Paulo Costa and Kenneth Laskey) - Proceedings of the Second ISWC Workshop on Uncertainty Reasoning in the Semantic Web, November, 2006.
• A Proposal for a W3C XG on Uncertainty Reasoning for the WWW (with Kenneth Laskey and Paulo Costa) - Proceedings of the Second ISWC Workshop on Uncertainty Reasoning in the Semantic Web, November, 2006.
• Propagation of Delays in the National Airspace System (with Ning Xu and C.H. Chen) - Proceedings of the 22nd Conference on Uncertainty in Artificial Intelligence, July 2006.
  
• Credibility Models for Multi-Source Fusion (with Ed Wright) - Proceedings of the 9th International Conference on Information Fusion, July 2006.
  
• PR-OWL: A Bayesian Ontology Language for the Semantic Web (with Paulo Costa and Kenneth Laskey) - Proceedings of the ISWC Workshop on Uncertainty Reasoning for the Semantic Web, November, 2005.
  
• Of Klingons and Starships:  Bayesian Logic for the 23rd Century (with Paulo Costa) - Uncertainty in Artificial Intelligence: Proceedings of the Twenty-First Conference, 2005.
• Quantum Physical Symbol Systems - Journal of Logic, Language and Information, 2005; talk presented at Progic 2005: Second Workshop on Probability and Logic, July 2005.
• Estimation of Delay Propagation in the National Aviation System Using Bayesian Networks (with Xu, N., Donohue, G. and Chen, C.H.) - presented at 6th USA/Europe Air Traffic Management Research and Development Seminar, June 2005.
  
• MEBN Logic: A Key Enabler for Network Centric Warfare (with Costa, P., Fung, F., Pool, M., Takikawa, M. and Wright, E.) - 10th Annual Command and Control Research and Technology Symposium, June, 2005.
• Modeling Insider Behavior Using Multi-Entity Bayesian Networks.  (with AlGhamdi, G., Wright, E., Barbara, D., and Chang, K.C.) - 10th Annual Command and Control Research and Technology Symposium, June, 2005.
• DTB Project: A Behavioral Model for Detecting insider Threats (with Paulo Costa, Mehul Revankar, Sepideh Mirza, Ghazi Alghamdi, Daniel Barbara, Thomas Shackelford, and Ed Wright) - 2005 International Conference on Intelligence Analysis, McLean, VA, May 2005 (short proceedings version).
• Multi-Entity Bayesian Networks Without Multi-Tears (with Paulo Costa) -  George Mason University Department of Systems Engineering and Operations Research, April 2005.
• PLASMA: Combining Predicate Logic and Probability for Information Fusion and Decision Support - (with Francis Fung, Mike Pool, Masami Takikawa and Ed Wright), presented at AAAI Spring  Symposium on Challenges to Decision Support in a Changing World, 2005
  
• Detecting Threatening Behavior Using Bayesian Networks (with Ghazi Alghamdi, Xun Wang, Daniel Barbara, Tom Shackleford, Ed Wright and Julie Fitzgerald) -  Proceedings of the Conference on Behavioral Representation in Modeling and Simulation, 2004.
• Representing Representers and What They Represent - Presented at Quantum Mind II, March 2003 (pdf) (slide show).
• Bayesian Decision Theory - Workshop conducted at SPARTA Corporation Annual Training Meeting, June 2002, Orlando, FL; includes slide show, pdf, Netica (R) models.
• Combat Identification with Bayesian Networks (with George Laskey, GMU student not related to co-author Kathryn Laskey) presented at Command and Control Research and Technology Symposium 2002, winner of Honorable Mention for Best Student Paper.
• Multisource Fusion for Probabilistic Detection and Opportunistic Assessment of Terrorist Threats  (with Tod Levitt), Aerosense 2002.
• Population Markov Chain Monte Carlo (abstract only; see Kluwer online for full paper) (with J. Myers) Machine Learning, 2003 and presentation for workshop on MCMC methods at NIPS 1999
• Hypothesis Management in Situation-Specific Network Construction (with S.M. Mahoney and E. Wright) Uncertainty in Artificial Intelligence: Proceedings of the Seventeenth Conference, 2001.
  
• Antiterrorism Risk Management for Military Planners (with L.D. Hudson,  B.S. Ware, and S.M. Mahoney) George Mason University C4I Center Technical Report C4I-05-01.
• Use of Domain Knowledge Models to Recognize Cooperative Force Activities (with Ed Wright and Suzanne Mahoney) Proceedings of the 2001 MSS National Symposium on Sensor and Data Fusion, San Diego, CA, June 2001
• Development of Bayesian Networks from Unified Modeling Language Artifacts (with Phil Barry and Peggy Brouse) Proceedings of the Software Engineering/KnowledgeEngineering 2000 Conference
• Limited Rationality in Action:  Decision Support for Military Situation Assessment (abstract only; see ACM online for full paper) Minds and Machines 10: 53-77, 2000.
  
• Computational Inference for Evidential Reasoning in Support of Judicial Proof (with T.S. Levitt) Cardozo Law Review, 2000.
• Measuring Performance for Situation Assessment (with Suzanne Mahoney, Ed Wright and KC Ng) Proceedings of 2000 MSS National Symposium on Sensor Data Fusion
• Knowledge Engineering for Probabilistic Models - lecture notes and Hugin files for tutorial presented at Full-Day Course on Uncertain Reasoning, UAI'99, August 1999.
• Prequential Quantum Dynamics and the Learning Computer - abstract and paper
• Learning Bayesian Networks from Incomplete Data with Stochastic Search Algorithms - Paper and presentation for Fifteenth Conference on Uncertainty in Artificial Intelligence, 1999 (with Jim Myers and Tod Levitt)
• Representing and Combining Partially Specified CPTs - Paper and presentation for Fifteenth Conference on Uncertainty in Artificial Intelligence, 1999 (with Suzanne Mahoney)
• An Application of Uncertain Reasoning to Requirements Engineering - Paper and presentation for Fifteenth Conference on Uncertainty in Artificial Intelligence, 1999 (with Phil Barry)
• Learning Bayesian Networks from Incomplete Data using Evolutionary Algorithms - Paper and presentation for GECCO 99 (with Jim Myers and Kenneth DeJong)
• Self-Representing Information Processing Systems and the Relation of the Material to the Mental - paper and presentation presented at Fundamental Principles of Cosmology: The Second Annual Workshop on the Foundationsof A Conscious Universe, October 1999, George Mason University
• Learning Extensible Multi-Entity Directed Graphical Models - Proceedings of the 1999 Workshop on Artificial Intelligence and Statistics.
• Extensible Multi-Entity Directed Graphical Models:  A Framework for Incremental Model Construction (with S. Mahoney) presented at the 1998 Valencia conference on Bayesian statistics.
• Constructing Situation Specific Networks - Paper and presentation for Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998 (with Suzanne Mahoney)
• Understanding the Bayesian Approach: A Non-dogmatic Perspective - presentation given to various audiences
• Network Fragments: Representing Knowledge for Constructing Probabilistic Models - Paper and presentation for Thirteenth Conference on Uncertainty in Artificial Intelligence, 1997 (with Suzanne Mahoney)
• Network Engineering for Complex Belief Networks - Paper and presentation for Twelfth Conference on Uncertainty in Artificial Intelligence, 1996 (with Suzanne Mahoney)
• Bayesian Learning of Loglinear Models for Neural Connectivity - Paper for Twelfth Conference on Uncertainty in Artificial Intelligence, joint session with Knowledge Discovery and Databases Conference, 1996 (with Laura Martignon)
• Sensitivity Analysis for Probability Assessments in Bayesian Networks - Paper for Ninth Conference on Uncertainty in Artificial Intelligence, 1993
• Model Confidence - Presented at 1994 Summer Institute on Probability in Artificial Intelligence
• Bayesian Decision Theory and Machine Learning - Presentation given to various audiences
• Belief in Belief Functions: An Examination of Shafer's Canonical Examples.  In In Uncertainty in Artificial Intelligence 3, L.N. Kanal, T.S. Levitt, and J.F. Lemmer, eds., North-Holland, 1989.