Automatic Abduction of Qualitative Models

Bradley L. Richards, Benjamin J. Kuipers, Ina Kraan

We describe a method of automatically abducing qualitative models from descriptions of behaviors. We generate, from either quantitative or qualitative data, models in the form of qualitative differential equations suitable for use by QSIM. Constraints are generated and filtered both by comparison with the input behaviors and by dimensional analysis. If the user provides complete information on the input behaviors and the dimensions of the input variables, the resulting model is unique, maximally constrained, and guaranteed to reproduce tbe input behaviors. lf the user provides incomplete information, our method will still generate a model which reproduces tbe input behaviors, but the model may no longer be unique. Incompleteness can take several forms: missing dimensions, values of variables, or entire variables.


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