Topics in Expert System Design: Methodologies and ToolsExpert Systems are so far the most promising achievement of artificial intelligence research. Decision making, planning, design, control, supervision and diagnosis are areas where they are showing great potential. However, the establishment of expert system technology and its actual industrial impact are still limited by the lack of a sound, general and reliable design and construction methodology. |
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Page 124
The key instance variable is an instance variable of the object table which is used to contain the set of attribute names which are keys for the table . It is initialized to contain one attribute in the example above . 5.3.2 .
The key instance variable is an instance variable of the object table which is used to contain the set of attribute names which are keys for the table . It is initialized to contain one attribute in the example above . 5.3.2 .
Page 275
Four layers of Expertise Domain layer The knowledge at the lowest , domain level contains concepts and relations which form structures that represent generic facts and models ( e.g. of processes or devices ) .
Four layers of Expertise Domain layer The knowledge at the lowest , domain level contains concepts and relations which form structures that represent generic facts and models ( e.g. of processes or devices ) .
Page 317
The value of the ' CONCEPTS ' variable is a list of instances of concepts which contain that fragment . ... NOTE ' is a string which contains a note from the knowledge engineer which is attached to this fragment .
The value of the ' CONCEPTS ' variable is a list of instances of concepts which contain that fragment . ... NOTE ' is a string which contains a note from the knowledge engineer which is attached to this fragment .
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Contents
From life cycle to development | 3 |
Choosing an expert system domain | 27 |
Tools and motivations | 47 |
Copyright | |
14 other sections not shown
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abstract activities addition allow analysis application approach attribute building complete components Computer concepts conclusion considered consists construction contains decision defined depends described detailed discussed domain effective elicitation environment evaluation example expert system expertise facilities fact Figure formal frame function given goal human identified implementation important inference input instance integrated Intelligence interaction interface International interpretation knowledge acquisition knowledge base knowledge engineer knowledge representation knowledge-based language learning limited machine major means mechanisms methodology methods objects operations output particular performance phase possible practical presented problem solving produce programming Prolog prototype question reasoning refer refinement relations Report represent representation requirements rules selection shells shows situations solution specific strategies structure studies system development task techniques types validity values