From Artificial Intelligence Series

Theories of Comparative Analysis

By Daniel S. Weld




Theories of Comparative Analysis provides a detailed examination of comparative analysis, the problem of predicting how a system will react to perturbations in its parameters, and why. It clearly formalizes the problem and presents two novel techniques - differential qualitative (DQ) analysis and exaggeration - that solve many comparative analysis problems, providing explanations suitable for use by design systems, automated diagnosis, intelligent tutoring systems, and explanation-based generalization.Weld first places comparative analysis within the context of qualitative physics and artificial intelligence. He then explains the theoretical basis for each technique and describes how they are implemented. He shows that they are essentially complementary: DQ analysis is sound, while exaggeration is a heuristic method: exaggeration, however, solves a wider variety of problems. Weld summarizes their similarities and differences and introduces a hybrid architecture that takes advantage of the strengths of each technique.

Theories of Comparative Analysis is included in the Artificial Intelligence Series, edited by Michael Brady, Daniel Bobrow, and Randall Davis.


Out of Print ISBN: 9780262231527 pp. | 6.25 in x 9.5 in