A relational characterization of the space of models of complex systems for diagnostic problem solving
Abbreviated Journal Title
Int. J. Expert Syst.
Computer Science, Artificial Intelligence
The effective diagnosis of complex systems requires reasoning with multiple models of the system. Recent research in reasoning about complex systems has been directed towards the representation of, and reasoning with, multiple models. This paper addresses some representational issues that arise when a diagnostic problem solver is equipped with the means of reasoning with multiple models of a system. A theory is proposed to explain how such a problem solver is able to effectively select models for diagnosing the system. A necessary condition for effective reasoning with multiple models is the dynamic selection of models which are as simple as possible to fulfill the requirements of the task. Models are viewed here as corresponding to relations defined on a set of variables. This abstraction allows for a precise characterization of the space of possible models induced by a finite set of operations on a finite set of initial models, as well as a characterization of the nature and goals of diagnostic reasoning.
International Journal of Expert Systems
"A relational characterization of the space of models of complex systems for diagnostic problem solving" (1997). Faculty Bibliography 1990s. 2027.