Several artificial intelligence architectures and systems based on" deep" models of a domain
have been proposed, in particular for the diagnostic task. These systems have several …

I report on my experience over the past few years in introducing automated, model-based
diagnostic technologies into industrial settings. In partic-ular, I discuss the competition that …

Operative diagnosis, or diagnosis of a physical system in operation, is essential for systems
that cannot be stopped every time an anomaly is detected, such as in the process industries …

The aim of this paper is to present a novel approach to the problem of focusing abductive
(model-based) diagnosis. The approach we propose is based on the use of compiled …

A common problem with knowledge-based systems is they make mistakes. The identification
of the elements within the knowledge base that are responsible for a mistake is the credit …

The application of knowledge compilation techniques to a specialized class of knowledge-
based systems known as model-based reasoning (MBR) systems is discussed. Knowledge …

In this paper we discuss two different approaches for the combination of heuristic and causal
reasoning in diagnostic problem solving. In particular, we first present the two-level …

An approach to the synthesis and use of operational knowledge in diagnostic problem
solving is proposed. The approach significantly departs from previous approaches to …

This report describes an ongoing effort to apply the functional modeling (FM) approach to
the representation of and reasoning about engineered artifacts. The application domain is …

A medical diagnosis system that dynamically integrates two types of problem-solving agents
to solve large problems is presented. It integrates a deep/model-based/fundamental type of …