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 219
... important in the initial stages of tool use , peaking during the prototyping phase . As implementation decisions get locked in , flexibility decreases in importance and may actually become a negative factor in later phases as the need ...
... important in the initial stages of tool use , peaking during the prototyping phase . As implementation decisions get locked in , flexibility decreases in importance and may actually become a negative factor in later phases as the need ...
Page 225
... important to determine project characteristics at this point , defining the goals , scope and budget of the development effort , and characterizing the development team and development environment . The scope of the project determines ...
... important to determine project characteristics at this point , defining the goals , scope and budget of the development effort , and characterizing the development team and development environment . The scope of the project determines ...
Page 398
... important . The reasoning may be formally correct , but it may not be understandable to the user of the system . Since , however , an important part of the expert system's functioning is the interaction with the user - and since ...
... important . The reasoning may be formally correct , but it may not be understandable to the user of the system . Since , however , an important part of the expert system's functioning is the interaction with the user - and since ...
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