Title: From Classic Expert Systems to Models: Introduction to a Methodology for Building Model-Based Systems
Abstract: Classical expert systems have been built by representing empirical associations as described by experienced human experts. This paper presents examples of knowledge systems which are model-based: they represent and manipulate descriptions of the structure of a domain and the principles which characterize its behavior. Model-based systems have been developed as a way both to exploit existing knowledge of the principles of a domain and to extend the limited flexibility which is often found in classical expert systems. The model-based approach emphasizes representation of the structure and function of the modeled system and reasoning with respect to that structure and function. We discuss the methodology which has been used to develop such model-based systems and a number of important design issues. We particularly emphasize the model-based representation and reasoning and the interactive interfaces required to support these models. Examples are first presented of two different models, of different kinds of reasoning and interfaces which were used with those models. Following discussion of models, model-based reasoning and interactive interfaces, there is a discussion of the way that model-based reasoning and its supportive interfaces extend traditional expert systems and the engineering discipline of modeling.
Publication Year: 1989
Publication Date: 1989-01-01
Language: en
Type: book-chapter
Indexed In: ['crossref']
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Cited By Count: 24
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