Department of Computer Science

Machine Learning Research Group

University of Texas at Austin Artificial Intelligence Lab

Publications: 1992

  1. An Operator-Based Approach to First-Order Theory Revision
    [Details] [PDF]
    Bradley Lance Richards
    PhD Thesis, Department of Computer Science, University of Texas at Austin, August 1992.
  2. A General Abductive system with application to plan recognition and diagnosis
    [Details] [PDF]
    Hwee Tou Ng
    PhD Thesis, Department of Computer Sciences, University of Texas at Austin, May 1992. 154 pages.
  3. Schema acquisition from a single example
    [Details] [PDF]
    W. Ahn, W. F. Brewer and Raymond J. Mooney
    Journal of Experimental Psychology: Learning, Memory, and Cognition, 18:391-412, 1992.
  4. Abductive Plan Recognition and Diagnosis: A Comprehensive Empirical Evaluation
    [Details] [PDF]
    Hwee Tou Ng and Raymond J. Mooney
    In Proceedings of the Third International Conference on Principles of Knowledge Representation and Reasoning, 499--508, Cambridge, MA, October 1992.
  5. Speeding-up Logic Programs by Combining EBG and FOIL
    [Details] [PDF]
    John M. Zelle and Raymond J. Mooney
    In Proceedings of the 1992 Machine Learning Workshop on Knowledge Compilation and Speedup Learning, Aberdeen, Scotland, July 1992.
  6. Automatic Abduction of Qualitative Models
    [Details] [PDF]
    Bradley L. Richards, Ina Kraan, and Benjamin J. Kuipers
    In Proceedings of the Fifth International Workshop on Qualitative Reasoning about Physical Systems, 295-301, 1992.
  7. Using Theory Revision to Model Students and Acquire Stereotypical Errors
    [Details] [PDF]
    Paul T. Baffes and Raymond J. Mooney
    In Proceedings of the Fourteenth Annual Conference of the Cognitive Science Society, 617-622, Bloomington, IN, 1992.
  8. Learning Relations by Pathfinding
    [Details] [PDF]
    Bradley L. Richards and Raymond J. Mooney
    In Proceedings of the Tenth National Conference on Artificial Intelligence (AAAI-92), 50-55, San Jose, CA, July 1992.
  9. Combining Symbolic and Neural Learning to Revise Probabilistic Theories
    [Details] [PDF]
    J. Jeffrey Mahoney and Raymond J. Mooney
    In Proceedings of the ML92 Workshop on Integrated Learning in Real Domains, Aberdeen, Scotland, July 1992.
  10. A First-Order Horn-Clause Abductive System and Its Use in Plan Recognition and Diagnosis
    [Details] [PDF]
    Hwee Tou Ng and Raymond J. Mooney
    June 1992. Unpublished Technical Note.
  11. Growing Layers of Perceptrons: Introducing the Extentron Algorithm
    [Details] [PDF]
    Paul T. Baffes and John M. Zelle
    In Proceedings of the 1992 International Joint Conference on Neural Networks, 392--397, Baltimore, MD, June 1992.
  12. Automated Debugging of Logic Programs via Theory Revision
    [Details] [PDF]
    Raymond J. Mooney and Bradley L. Richards
    In Proceedings of the Second International Workshop on Inductive Logic Programming (ILP-92), Tokyo, Japan, 1992.
  13. Belief Revision in the Context of Abductive Explanation
    [Details] [PDF]
    Siddarth Subramanian
    Technical Report AI92-179, Artificial Intelligence Laboratory, University of Texas, Austin, TX, December 1992.
  14. Batch versus Incremental Theory Refinement
    [Details] [PDF]
    Raymond J. Mooney
    In Proceedings of the 1992 AAAI Spring Symposium on Knowledge Assimilation, Standford, CA, March 1992.