Topics in Expert System Design: Methodologies and ToolsGiovanni Guida, Carlo Tasso North-Holland, 1989 - 441 pages Expert 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 355
... attribute is assigned a value in the conclusion . It then makes a table displaying all possible combinations of attributes used in the IF conditions and the corresponding values which will be concluded in the THEN part of the rule . The ...
... attribute is assigned a value in the conclusion . It then makes a table displaying all possible combinations of attributes used in the IF conditions and the corresponding values which will be concluded in the THEN part of the rule . The ...
Page 361
... Attribute properties which are frequently implemented include : • restriction of acceptable attribute values ⚫ whether the user can be queried for the attribute value ⚫ whether the attribute is single - valued or multivalued . In the ...
... Attribute properties which are frequently implemented include : • restriction of acceptable attribute values ⚫ whether the user can be queried for the attribute value ⚫ whether the attribute is single - valued or multivalued . In the ...
Page 369
... attribute and which rules refer to the value of an attribute . Information about which rules reference a certain attribute is useful if the knowledge engineer needs to change the meaning of the attribute or change its legal values . It ...
... attribute and which rules refer to the value of an attribute . Information about which rules reference a certain attribute is useful if the knowledge engineer needs to change the meaning of the attribute or change its legal values . It ...
Contents
From life cycle to development | 3 |
Choosing an expert system domain | 27 |
Tools and motivations | 47 |
Copyright | |
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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