KBS Refereed Publications

2006

2005

• Grois, E. and Wilkins, D. C., "Learning Strategies for Open-Domain Natural Language Question Answering," Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, July 30 – August 5, 2005. pdf
  
  
• Bulitko, V and Wilkins, D.C., "Machine Learning for Time Interval Petri Nets," Proceedings of the 18th Australian Joint Conference on Artificial Intelligence, Sydney, Australia, Lecture Notes in Artificial Intelligence (LNAI), Springer-Verlag, 2005, 959-965. pdf
  
  
• Grois, E. and Wilkins, D. C., "Learning Strategies for Story Comprehension: A Reinforcement Learning Approach," Twenty-Second International Conference on Machine Learning (ICML), Bonn, Germany, August 7-11, 2005.
  
  
• Wilkins, D. C. and Fried, D., "Multi-Agent Architectures that Facilitate Apprenticeship Learning for Real-Time Decision Making: Minerva and Gerona," AAAI Fall Symposium on Mixed-Initiative Problem-Solving Agents, Washington D. C., November 3-6, 2005. Invited Paper.  pdf
  
  
• Grois, E., "Learning Strategies for Open-Domain Natural Language Question Answering," Forty-Third Meeting of the Association of Computational Linguistics, Student Research Workshop, Ann Arbor, MI, June 25-30, 2005.

2003

• Bulitko, V. and Wilkins, D.C., "Qualitative Simulation of Temporal Concurrent Processes Using Time Interval Petri Networks," Artificial Intelligence, Volume 144, Issue 1-2, 95-145, March 2003. pdf
  
  
• Fried, D. M., Wilkins, D. C., Grois, E., Peters, S., Schultz, K. and Clark, B. “The Gerona Knowledge Ontology and It’s Support for Spoken Dialogue Tutoring of Crisis Decision Making Skills,” Workshop on Knowledge and Reasoning in Practical Dialogue Systems, Eighteenth International Joint Conference on Artificial Intelligence, IJCAI-03, August 2003. pdf
  
  
• Schultz, K., Clark, B., Bratt, E. O., Peters, S., Pon-Barry, H., Treeratpituk, P., Thomsen-Gray, Z., Wilkins, D. C., Fried, D. M., Grois, E. “Interactive Spoken Simulation Control and Conversational Tutoring”, IJCAI-03 Intelligent Systems Demonstrations, Eighteenth International Joint Conference on Artificial Intelligence, IJCAI-03, August, 2003.
  

2002

• Sniezek, J. A., Wilkins, D. C., and Wadlington, P., "Training for Crisis Decision Making: Psychological Issues and Computer-Based Solutions," Journal of Management Information Science. Volume 18, Number 4, 147-168, 2002. pdf
  
  
• Bulitko, V. V. and Wilkins, D. C., "Real Time Decision Making for Ship Damage Control," Workshop on Real-Time Decision Support and Diagnosis Systems, Proceedings of the National Conference on Artificial Intelligence (AAAI), AAAI Press, Edmonton, Alberta, 2002, 37-46.  pdf
  
  
• Elizabeth Owen Bratt, Brady Clark, Zack Thomsen-Gray, Stanley Peters, Pucktada Treeratpituk, Heather Pon-Barry, Karl Schultz, David C. Wilkins, and David Fried. “Model-Based Reasoning for Tutoroial Dialogue in Shipboard Damage Control,” In Model Based Systems and Qualitative Reasoning for Intelligent Tutoring Systems, Bert Bredeweg (ed.). International workshop at ITS 2000, June 2nd, 2002. San Sebastian, Spain. 63-69.

2001

• Mengshoel, O. and Wilkins, D. C., "RAVEN: Bayesian Networks for Human-Computer Intelligent Interaction," In Vassiliou, M. S. & Huang, T. S. (Eds.), Computer Science Handbook for Displays, Rockwell Scientific Publishers, pp 209-219, 2001.  pdf
  
  
• Sniezek, J. A., Wilkins, D. C., and Wadlington, P., "Advanced Training for Crisis Decision Making: Simulation, Critiquing, and Immersive Interfaces," Proceedings of the 34th Hawaii International Conference on Systems Sciences, Maui, Hawaii. January 5-7, 2001. pdf

2000

• Hsu, W. H., Ray, S. R., and Wilkins, D. C., "A Multistrategy Approach to Classifier Learning From Time Series," Machine Learning 38 (1-2), pp. 213-236, 2000. pdf
  
  
• Baumann, M. R., Sniezek, J. A., and Buerkle, C. A., "Self-Evaluation, Stress, And Performance: A Model Of Decision Making Under Acute Stress," In E. Salas And G. Klein (Eds.), Linking Expertise And Naturalistic Decision Making, Mahwah, NJ: Lawrence Erlbaum Associates, pp. 141-160, 2000.
  
  
• Schrah, G., Chernyshenko, O., Baumann, M, Sniezek, J., Bulitko, V., Borton, S. and Wilkins, D.C.,  "A New Approach to Scoring Dynamic Decision Making Performance on High Fidelity Simulators: Reliability and Validity Issues," in Proceedings of the 15th Annual Conference for the Society for Industrial and Organizational Psychology. New Orleans, Louisiana, 2000. pdf
  
  
• Hayes, C., Penner, R., Ergan, H., Lu, L,. Tu, N., Jones, P., Asaro, P., Bargar, R., Chernyshenko, O., Choi, I., Danner, N., Mengshoel, O., Sniezek, J., Wilkins, D. C. "CoRAVEN Model-based Design of a Cognitive Tool for Real-Time Intelligence Monitoring and Analysis," In Proceedings of the 2000 IEEE International Conference on Systems, Man, and Cybernetics. Nashville, TN, October 2000. pdf
  

1999

• Bulitko, V. V. and Wilkins, D. C., "Automated Instructor Assistant for Ship Damage Control," Proceedings of the Eleventh Conference on Innovative Applications of Artificial Intelligence, Orlando, pp. 778-785, July 18-22, 1999. pdf
  
  
• Bulitko, V. V. and Wilkins, D. C., "Using Petri Nets to Represent Context in Blackboard Scheduling," Proceedings of the AAAI Workshop on Reasoning in Context for AI Applications, Orlando, Florida, pp. 26-34, July 1999. pdf
  
  
• Bulitko, V. V. and Wilkins, D. C., "Learning to Envision: An Intelligent Agent for Ship Damage Control," Proceedings of the Workshop on Machine Learning and Intelligent Agents, ACAI-99, Crete, Greece, July 5-16, 1999. pdf
  
  
• Bulitko, V. V. and Wilkins, D. C., "Damage Control Domain: Using Petri Nets for Intelligent Scheduling," Proceedings of the Workshop on Application of Petri Nets to Intelligent System Development, Williamsburg, Virginia. pp 14-25, June 1999. pdf
  
  
• Bulitko, V. V. and Wilkins, D. C., "Minerva-DCA: An Intelligent Agent for Ship Damage Control," International Conference on Practical Applications of Constraint Technologies and Logic Programming, PACLP-99, London, England, April 19-21, 1999. pdf
  
  
• Wilkins, D. C., Mengshoel, O. J., Chernyshenko, O, Jones, P. M., Hayes, C. C., and Bargar, R., "Collaborative Decision Making and Intelligent Reasoning in Judge Advisor Systems," In Proceedings of the 32nd Hawaii International Conference on System Sciences, January 1999. pdf
  

1998

• Grois, E., Hsu, W. H., Voloshin, M., and Wilkins, D. C., "Bayesian Network Models for Automatic Generation of Crisis Management Training Scenarios." In Proceedings of the Ninth Conference on Innovative Applications of Artificial Intelligence, IAAI-98, Madison, WI, pp. 1113-1120, July 1998. pdf
  
  
• Hsu, W. H., Gettings, N. D., Lease, V. E., Pan, Y., and Wilkins, D. C., "Heterogeneous Time Series Learning for Crisis Monitoring." In Proceedings of the International Workshop on Multistrategy Learning, MSL-98, Milan, Italy, June 1998. pdf
  
  
• Hsu, W. H., Gettings, N. D., Lease, V. E., Pan, Y., and Wilkins, D. C., "Crisis Monitoring: Methods for Heterogeneous Time Series Learning." In Proceedings of the Joint AAAI-ICML Workshop on AI Approaches to Time Series Problems, Madison, WI, pp. 34-41. July 1998.
  
  
• Jones, P. M., Hayes, C. C., Wilkins, D. C., Bargar, R., Sniezek, J., Asaro, P., Mengshoel, O. J., Kessler, D., Lucenti, M., Choi, I., Tu, N., and Schlabach, J., "CoRAVEN: Modeling and Design of a Multimedia Intelligent Infrastructure for Collaborative Intelligence Analysis," In Proceedings of the 1998 IEEE International Conference on Systems, Man, and Cybernetics, San Diego, CA, October 11-14, 1998.  pdf
  
  
• Mengshoel, O. J. and Wilkins, D. C., "Abstraction for Belief Revision: Using a Genetic Algorithm to Compute the Most Probable Explanation." In Satisficing Models: Papers from the 1998 AAAI Spring Symposium, Stanford University, CA., AAAI Press, pp. 46- 53, March 1998. pdf
  
  
• Mengshoel, O. J. and Wilkins, D. C, "Genetic Algorithms for Belief Network Inference: The Role of Scaling and Niching." In Proceedings of the Seventh Annual Conference on Evolutionary Programming, San Diego, CA, pp. 547--556, March 25-27, 1998. pdf
  
  
• Mengshoel, O. J., Goldberg, D. E., and Wilkins, D. C, "Deceptive and Other Functions of Unitation as Bayesian Networks." In Genetic Programming 1998: Proceedings of the Third Annual Conference, pp. 559--566, University of Wisconsin, Madison, WI, July 22-25, 1998. pdf
  
  
• Mengshoel, O. J., Wilkins, D. C., and Uckun, S, "Filtering and Visualizing Uncertain Battlefield Data Using Bayesian Networks," In Proceedings of the ARL Advanced Displays and Interactive Displays Federated Laboratory Second Annual Symposium, College Park, MD, February 1998.  pdf
  

1997

• Mengshoel, O. J. and Wilkins, D. C, "Abstraction and Aggregation in Belief Networks." In Abstractions, Decisions, and Uncertainty: Collected Papers from the 1997 Workshop, pp. 53-58, AAAI Press, Menlo Park, CA, July 1997. pdf
  
  
• Ramachandran, S. and Wilkins, D. C, "Temporal Control Structures in Expert Critiquing Systems," Fourth International Workshop on Temporal Representation and Reasoning, May 1997.
  
  
• Mengshoel, O. J. and D. C. Wilkins, "Visualizing Uncertainty in Battlefield Reasoning Using Belief Networks." In Proceedings of the ARL Advanced Displays and Interactive Displays Federated Laboratory First Annual Symposium, pp. P15-P22, Adelphi, MD, ARL Adelphi Laboratory, January 1997. pdf
  

1996

• Mengshoel, O. J. and Wilkins, D. C., "Recognition and Critiquing of Erroneous Agent Actions," In Agent Modeling: Papers from the 1996 AAAI Workshop, M. Tambe and P. Gmytrasiewicz (eds.), pp. 61-68, AAAI Press, Menlo Park, CA, August 1996. pdf
  
  
• Mengshoel, O. J. and Wilkins, D. C., "Towards an Approach to Exploiting Domain Structure for Planning," In Proceedings of the AAAI Workshop on Structural Issues in Planning and Temporal Learning, Portland, OR, August 1996. pdf
  
  
• Radhakrishnan, P., Arrow, H. A., and Sniezek, J. A., "Hoping, Performing, Learning, and Predicting: Changes in the Accuracy of Self-Evaluations of Performance," Human Performance, 9(1), 23-49, 1996.
  
  
• Kuhn, K. M. and Sniezek, J. A., "Differential Effects of Scenario Generation on Confidence and Uncertainty," Journal of Behavioral Decision Making. Vol. 9, 231-247, 1996.
  

1995

• Donoho, S. and Wilkins, D. C., "Using Apprenticeship Techniques to Guide Constructive Induction," Knowledge Acquisition, Volume 6, 295-314, 1995. pdf
  
  
• Ma, Y. and Wilkins, D. C., "The Refinement of Inconsistent Probabilistic Rule Sets for Classification Expert Systems," International Journal of Expert Systems, Vol 8, No. 1, 25-45, 1995. pdf
  

1994

• Wilkins, D. C. and Ma, Y., "The Refinement of Probabilistic Rule Sets: Sociopathic Interactions," Artificial Intelligence, Volume 70, Number 1, 1994, 1-32. pdf
  
  
• Park, Y. T. and Donoho, S., and Wilkins, D. C., "Recursive Heuristic Classification," International Journal of Expert Systems, Volume 7, Number 4, 1994, 329-357. pdf
  
  
• Donoho, S. and Wilkins, D. C., "Odysseus2: Addressing the Challenges of Apprenticeship," Eighth Knowledge Acquisition for Knowledge-Based Systems Workshop, Banff, Canada, pp. 14.1--14.18, January 1994. pdf
  
  
• Donoho, S. and Wilkins, D.C., "Exploiting the Order of Observed Problem-Solving Steps for Knowledge Base Refinement: An Apprenticeship Ap­proach," Twelfth National Conference on Artificial Intelligence, Seattle, August 1994, 569-575. pdf
  
  
• Fu, M., Hayes, C. C., Wilkins, D. C., and West, E. W., "Using a Goal-Directed Model of Design in an Expert Critiquing System," Proceedings of the Design Cognition and Design Education Workshop, Georgia Institute of Technol­ogy, 1994.
  

1993

• Buchanan, B. G. and Wilkins, D. C. (eds.), Readings in Knowledge Acquisition and Learning, Morgan Kaufmann, 907 pages, 1993. pdf
  

1992

• Park, Y. and Wilkins, D. C., "Representation and Control of Knowledge Bases for Support of Multiple Tasks," Proceedings of the Eighth IEEE Conference on Artificial Intelligence for Applications, Monterey, CA, March 2–6, 1992, 51-57. pdf
  
  
• Ma, Y., Wilkins, D. C. and Chandler, J. S., "IUR inductive framework: Us­ing Dempster-Shafer theory to handle noise and missing values in inductive learning," Proceedings of the Fifth International Symposium on Artificial Intelligence, Cancun, Mexico, December 1992, 285-292. pdf
  
  
• Ma, Y. and Wilkins, D. C., "An Extended Bayesian Belief Function for Uncertainty Reasoning," Third International Workshop on Computational Learning Theory and Natural Learning Systems, University of Wisconsin, Madi­son, August 27–29, 1992. pdf
  
  
• Ma, Y. and Wilkins, D. C., "A Combined Optimization Method to Refine Knowl­edge Bases of Uncertain Rules," Proceedings of the Second Pacific Rim International Conference on Artificial Intelligence, Seoul, Korea, September, 1992, 1102-1108 pdf
  
  
• Ma, Y., Chandler, J. S., and Wilkins, D. C., "On the Decision Making Problem in Dempster-Shafer theory," Proceedings of the Fifth International Symposium on Artificial Intelligence, Cancun, Mexico, December 1992, 293-302. pdf
  

1991

• Ma, Y. and Wilkins, D. C., "Induction of Uncertain Rules and the Sociopathicity Property of Dempster-Shafer Theory," in Symbolic and Quantitative Approaches for Uncertainty, R. Kruse and P. Siegel (eds.), Lecture Notes in Com­puter Science, Springer-Verlag, 1991, 238–245. pdf
  
  
• Nicholl, S. and Wilkins, D. C., "Computer Modeling of Acquisition Orders in Child Language," Proceedings of the Eighth International Machine Learning Workshop: Computational Models of Human Learning Track, Northwestern University, June 27–29, 1991, 100–104. pdf
  
  
• Ma, Y. and Wilkins, D. C., "Improving the Performance of Inconsistent Knowledge Bases via Combined Optimization Method," Proceedings of the Eighth International Machine Learning Workshop: Automated Knowledge Acquisition Track, North­western University, Evanston, IL, June 27–29, 1991, 23–27. pdf
  
  
• Nicholl, S. and Wilkins, D. C., "A Computational Model of Brown’s Results on Morpheme Order Acquisition," Proceedings of the Twelfth Annual Conference on Cognitive Science, University of Chicago, August 7–10, 1991, 832–836. pdf
  
  
• Wilkins, D. C., "A Framework for Knowledge Acquisition and Machine Learning," in Proceedings of the Sixth Knowledge Acquisition for Knowledge Base Systems Workshop, Banff, Canada, October 6–11, 1991, 37.1–37.11. Invited Paper. pdf
  
  
• Ma, Y. and Wilkins, D. C., "Induction of Uncertain Rules and the Sociopathicity Property of Dempster-Shafer Theory," Proceedings of the European Conference on Symbolic and Quantitative Approaches for Uncertainty, Marseille, France, October 15–17, 1991, 238–245. (Also, in Symbolic and Quantitative Approaches for Uncertainty, R. Kruse and P. Siegel (eds.), Lecture Notes in Computer Science, Springer-Verlag, pp 238–245, 1991. pdf
  

1990

• Wilkins, D. C., "Knowledge Base Refinement as Improving an Incorrect and Incomplete Domain Theory," in Machine Learning: An Artificial Intelligence Approach, Volume III, Y. Kodratoff and R. Michalski (eds.), Morgan Kaufmann, 1990, 493–513. pdf
  
  
• Lu, L., Wilkins, D. C., Bian, Z. and Ying, X., "Minimum Error Tree Decomposition," Proceedings of the Sixth Conference on Uncertainty in Artificial Intelligence, Boston, Mass., July 27–29, 1990, 155-162. pdf
  
  
• Ma, Y. and Wilkins, D. C., "An Analysis of Bayesian Evidential Reasoning," Proceedings of the Pacific Rim International Conference on Artificial Intel­ligence, Nagoya, Japan, No­vember 1990, 772-777. pdf
  
  
• Ma, Y. and Wilkins, D. C., "Computation of Rule Probability Assignments for Dempster-Shafer Theory and the Sociopathicity of the Theory," Proceedings of the Third International Symposium on Artificial Intelligence, Monterey, Mexico, October 1990, 214–219. pdf
  
  
• Nicholl, S. and Wilkins, D. C., "Efficient Learning of Language Categories," Proceedings of the Twelfth Cognitive Science Conference, Cambridge, Mass., July 25–28, 1990, 455–562. pdf
  
  
• Park, Y. and Wilkins, D. C., "Establishing the Coherence of an Explanation to Improve Refinement of an Incomplete Knowledge Base," Proceedings of Eighth National Conference on Artificial Intelligence, Boston, Mass., August 11–15, 1990, 511-516). pdf
  

1989

• Wilkins, D.C. (ed.), Proceedings of the Workshop on Models of Complex Human Learning, Cornell University, June 27–28, 1989. pdf
  
  
• Wilkins, D. C., "Knowledge Base Refinement Using Apprenticeship Learning Techniques," in Knowledge Representation and Organization in Machine Learning, K. Morik (ed.), Lecture Notes in Artificial Intelligence, Springer-Ver­lag, 1989, 247–257. pdf
  
  
• Karp, P. D. and Wilkins, D. C., "An Analysis of the Distinction Between Deep and Shallow Expert Systems," International Journal of Expert Systems, volume 2, number 1, 1989, 1–32. pdf
  
  
• Wilkins, D. C., "Automated Knowledge Acquisition Using Apprenticeship Learn­ing Techniques," in Proceedings of the Workshop on Models of Complex Human Learning, D. C. Wilkins (editor), Cornell University, Ithaca, NY, June 27-29, 1989, pp 35. pdf
  
  
• Wilkins, D. C. and Tan, K. W., "Knowledge Base Refinement as Improving an Incorrect, Incomplete, and Inconsistent Domain Theory," Proceedings of the ONR Workshop on Knowledge Acquisition, Crystal City, Virginia, November 5–7, 1989, 28–33. pdf
  
  
• Wilkins, D. C. and Tan, K. W., "Knowledge Base Refinement as Improving an Incorrect, Inconsistent, and Incomplete Domain Theory," Proceedings of the Sixth International Workshop on Machine Learning, Ithaca, June 30–July 1, 1989, Morgan Kaufmann, 332–337. pdf
  
  

1988

• Wilkins, D. C., Clancey, W. J. and Buchanan, B. G., "Knowledge Base Refinement By Monitoring Abstract Control Knowledge," in Knowledge Acquisition for Knowledge Based Systems, J. Boose and B. Gaines (eds.), Academic Press, 1988, 183–196. pdf
  
  
• Wilkins, D. C., Clancey, W. J. and Buchanan, B. G., "Using and Evaluating Differential Modeling in Intelligent Tutoring and Apprentice Learning Systems," in Intelligent Tutoring Systems: Lessons Learned, J. Psotka, L. Massey, S. Mutter (eds.), Lawrence Erlbaum, 1988, 257–279. pdf
  
  
• Wilkins, D. C., "Knowledge Base Refinement Using Apprenticeship Learning Techniques," Proceedings of the Seventh National Conference on Artificial Intelligence, Saint Paul, Minneapolis, August 21–26, 1988, Morgan Kaufmann, 646-651. pdf
  
  
• Wilkins, D. C., "Machine Learning Techniques for Knowledge Based Systems," Proceedings of the Scandinavian Conference on Artificial Intelligence, Tromso, Norway, March 9-11, 1988, 359–361. Invited Paper. pdf
  

1987

• Wilkins, D. C., "Cognitive Diagnosis of Heuristic Classification Problem Solving," Third International Conference on Artificial Intelligence and Education, Pittsburgh, May 8–10, 1987, 57–58. pdf
  
  
• Wilkins, D. C., Clancey, W. J. and Buchanan, B. J., "Knowledge Base Refinement By Monitoring Abstract Control Knowledge," International Journal of Man-Machine Studies, volume 27, 1987, 281–293. pdf
  
  

1986

• Wilkins, D. C., Clancey, W. J. and Buchanan, B. G., "An Overview of the Odysseus Learning Apprentice," in Machine Learning: A Guide to Current Research, T. M. Mitchell, J. G. Carbonell and R. S. Michalski (eds.), Hingham, MA: Kluwer Academic, 1986, 369–373. pdf
  
  
• Dietterich, T. G., Flann, N. S. and Wilkins, D. C., "Machine Learning at IJCAI-85," in Machine Learning, Volume 1, No. 2, 227-242, 1986. pdf
  
  
• Wilkins, D. C., "Knowledge Base Debugging Using Apprenticeship Learning Techniques," Proceedings of the Knowledge Acquisition for Knowledge-Based Systems Workshop, Banff, November 3–7, pages 40.0–40.14, 1986. pdf
  
  
• Wilkins, D. C. and Buchanan, B. G., "Debugging Rule Sets When Reasoning Under Uncertainty," Proceedings of Fifth National Conference on Artificial Intelligence, Philadelphia, August 11–15, Morgan Kaufmann, 448–454, 1986. pdf
  

1985

• Wilkins, D. C., Clancey, W. J. and Buchanan, B. G., "Odysseus: A Learning Apprentice," in Proceedings of the Third International Machine Learning Workshop, June 1985, 221-223. pdf
  

1984

• Wilkins, D. C., Buchanan, B. G. and Clancey, W. J., "Inferring an Expert’s Reasoning by Watching," In Proceedings of the 1984 Conference on Intelligent Systems and Machines, Detroit, May 1984, 51-58. pdf