Model-Based Reasoning: A Principled Approach for Software Engineering

Lee M.H., Model-Based Reasoning: A Principled Approach for Software Engineering, Software - Concepts and Tools,19(4), pp179-189, 2000.

On Models, Modelling and the Distinctive Nature of Model-Based Reasoning

M.H. Lee, On Models, Modelling and the Distinctive Nature of Model-Based Reasoning, AI Communications, 12 (3), pp127-137.1999.

Characterising Model-Based Reasoning

Lee M.H., Characterising Model-Based Reasoning, Proc. 10th Int. Workshop on Principles of Diagnosis, (DX'99), Loch Awe, Scotland, 1999, pp140-146.

The Use of Graph Grammars for Model-based Reasoning in Diagnostic Expert Systems

Flasinski M. and Lee M.H., The Use of Graph Grammars for Model-based Reasoning in Diagnostic Expert Systems, Prace Informatyczne, Zeszyty Naukowe Uniwersytetu Jagiellonskiego, 9, 1999, pp147-165.

Qualitative Futures

Price, C., Trave-Massuyes, L., Milne, R., Ironi, L., Forbus, K., Bredeweg, B., Lee, M., Struss, P., Snooke, N., Lucas, P., Cavazza, M., Coghill, G. (2006). Qualitative Futures. The Knowledge Engineering Review, 21 (4), 317-334. Sponsorship: MONET European Network on Qualitative and Model-Based Reasoning

Granularity and disaggregation in compositional modelling with applications to ecological systems

J. Keppens and Q. Shen. Granularity and disaggregation in compositional modelling with applications to ecological systems. Applied Intelligence, 25(3):269-292, 2006.

Compositional Bayesian modelling and its application to decision support in crime investigation

J. Keppens, Q. Shen and M. Lee. Compositional Bayesian modelling and its application to decision support in crime investigation. Proceedings of the 19th International Workshop on Qualitative Reasoning, pages 138-148.

Scale and move transformation-based fuzzy interpolative reasoning: A revisit

Z. Huang and Q. Shen. Scale and move transformation-based fuzzy interpolative reasoning: A revisit. Proceedings of the 13th International Conference on Fuzzy Systems, pages 623-628, 2004.

Computer-Based Diagnostic Systems: Computer-Based Troubleshooting

ISBN: 3-540-76198-5 (out of print)

Combining Functional and Structural Reasoning for Safety Analysis of Electrical Designs

C.J.Price, D.R.Pugh, N.A.Snooke, J.E.Hunt, M.S.Wilson, Combining Functional and Structural Reasoning for Safety Analysis of Electrical Designs, Knowledge Engineering Review, vol 12:3, pp.271-287, 1997.

A Case-Based Approach to Black-Box Control Learning

Garrett S.M. and Lee M.H., A Case-Based Approach to Black-Box Control Learning, Proc. Int. Conf. on Comutational Intelligence for Modelling, Control and Automation (CIMCA`99), 17-19 Feb. 1999. Vienna.

Qualitative Circuit Models in Failure Analysis Reasoning

Lee M.H., Qualitative Circuit Models in Failure Analysis Reasoning, AI Journal. vol 111, pp239-276.1999.

Behaviour-Based Assistive Robotics for the Home

Meng Q. and Lee M.H., Behaviour-Based Assistive Robotics for the Home, in Proc. SMC2001, IEEE 2001 Int. Conf. on Systems, Man and Cybernetics, Tucson, Arizona, Oct 2001, pp684-689.

On the use of qualitative reasoning to simulate and identify metabolic pathways

King, R.D., Garrett, S.M., Coghill, G.M. (2005). On the use of qualitative reasoning to simulate and identify metabolic pathways. Bioinformatics 21(9):2017-2026 RAE2008

Semantics-Preserving Dimensionality Reduction: Rough and Fuzzy-Rough-Based Approaches

R. Jensen and Q. Shen. Semantics-Preserving Dimensionality Reduction: Rough and Fuzzy-Rough Based Approaches. IEEE Transactions on Knowledge and Data Engineering, 16(12): 1457-1471. 2004.