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. |
From inside the book
Results 1-2 of 2
Page 37
... percentage of incomplete coverage for the task should be tolerable ( at least initially ) . Also , the determination of whether a sub - problem is covered by the present system should not be difficult . If the system does not have to do ...
... percentage of incomplete coverage for the task should be tolerable ( at least initially ) . Also , the determination of whether a sub - problem is covered by the present system should not be difficult . If the system does not have to do ...
Page 38
... percentage of in- correct or non - optimal results . The more toleration for in- correct results , the faster the system can be deployed and the easier it will be to win system acceptance . For example , in a domain where even the best ...
... percentage of in- correct or non - optimal results . The more toleration for in- correct results , the faster the system can be deployed and the easier it will be to win system acceptance . For example , in a domain where even the best ...
Contents
From life cycle to development | 3 |
Choosing an expert system domain | 27 |
Tools and motivations | 47 |
Copyright | |
14 other sections not shown
Other editions - View all
Common terms and phrases
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