Share Email Print

Proceedings Paper

Extending the GDE paradigm to physiology
Author(s): Keith L. Downing
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

In 1986, de Kleer and Williams first described the general diagnostic engine (GDE), which combines simulation, truth maintenance, and information theory to perform model-based diagnosis (MBD) of complex physical devices. Currently, a large proportion of research within MBD follows the GDE paradigm. Most of this work applies to digital electronics topologies that lack feedback and are composed of standard component models such as adders and multipliers. We extend the GDE paradigm to physiological domains, where both modeling problems and feedback abound. To deal with the modeling differences between electronics and physiology, we generalize the GDE concept of component to mechanism, since mechanisms based on fundamental laws and feedback loops are the focal modules of many physiological systems. Using steady-state constraints to represent these mechanisms, we employ constraint propagation as a simulation/prediction engine. Although partially describable by steady-state equations, homeostatic systems also exhibit complex dynamic behaviors. In response to initial perturbations/faults, regulators cause physiological systems to evolve through a series of states, each characterized by a unique set of faults. We therefore view the diagnosis of regulated systems as a fourfold tasks: 1) find the fault sets of 'candidate' diagnoses within each state, 2) use static regulatory models to explain as many candidate faults as possible, 3) use dynamic regulatory models to link candidates from temporally adjacent states into global explanation chains, and 4) use these global chains and their estimated likelihoods as the information-theoretic basis for determining which variable to measure next, and when (i.e., in which state). So by focusing on physiological domains, we extend the GDE paradigm to diagnose time-varying systems with dynamic faults (i.e., those that do not necessarily persist throughout diagnosis).

Paper Details

Date Published: 1 March 1992
PDF: 12 pages
Proc. SPIE 1707, Applications of Artificial Intelligence X: Knowledge-Based Systems, (1 March 1992); doi: 10.1117/12.56872
Show Author Affiliations
Keith L. Downing, Linkoping Univ. (Sweden)

Published in SPIE Proceedings Vol. 1707:
Applications of Artificial Intelligence X: Knowledge-Based Systems
Gautam Biswas, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?