Qualitative Modeling & Diagnosis
Qualitative reasoning (QR) concerns modelling and reasoning about the behavior of physical systems qualitatively rather than numerically. Our work in the area has focused on learning qualitative models from behaviors and using abduction to perform model-based diagnosis of systems using QR.
Publications
Autonomous Qualitative Learning of Distinctions and Actions in a Developing Agent 2010
Jonathan Mugan, PhD Thesis, University of Texas at Austin.
Qualitative Multiple-Fault Diagnosis of Continuous Dynamic Systems Using Behavioral Modes 1996
Siddarth Subramanian and Raymond J. Mooney, In Proceedings of the Thirteenth National Conference on Artificial Intelligence (AAAI-96), pp. 965-970, Portland, OR, August 1996.
Multiple-Fault Diagnosis Using General Qualitative Models with Fault Modes 1995
Siddarth Subramanian and Raymond J. Mooney, In Working Notes of the IJCAI-95 Workshop on Engneering Problems for Qualitative Reasoning, Monreal, Quebec, August 1995.
Qualitative Multiple-Fault Diagnosis of Continuous Dynamic Systems Using Behavioral Modes 1995
Siddarth Subramanian, PhD Thesis, Department of Computer Sciences, University of Texas at Austin. 128 pages. Also appears as Technical Report AI 95-239.
Learning Qualitative Models for Systems with Multiple Operating Regions 1994
Sowmya Ramachandran, Raymond J. Mooney, and Benjamin J. Kuipers, In Proceedings of the Eighth International Workshop on Qualitative Reasoning about Physical Systems, Nara, Japan 1994.
Multiple-Fault Diagnosis Using General Qualitative Models with Fault Modes 1994
Siddarth Subramanian and Raymond J. Mooney, In Working Papers of the Fifth International Workshop on Principles of Diagnosis, pp. 321-325, New Paltz, NY, October 1994.
Automatic Abduction of Qualitative Models 1992
Bradley L. Richards, Ina Kraan, and Benjamin J. Kuipers, In Proceedings of the Fifth International Workshop on Qualitative Reasoning about Physical Systems, pp. 295-301 1992.
Labs
Machine Learning