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A successful complex expert system, Kardio's model of the human heart is designed for the diagnosis of cardiac arrhythmias. Kardio is highly skilled in the reading of ECG recordings, and can be used as a diagnostic tool in ECG interpretation. In this groundbreaking account, the authors show how the model was compiled, by means of qualitative simulation and machine learning tools, into various representations that are suited for particular expert tasks. They investigate a hierarchical organization of a qualitative model and outline an experiment whereby the construction of a deep model is automated by machine learning techniques. The book contains a complete model of the electrical system of the heart.

Abstractions in semantic networks: axiom schemata for generalization, aggregation and grouping