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 1-3 of 23
Page 52
... scope of an expert system's capability evolves overtime and its sensitivity to critical detail increases with experience . Like experts , a true expert system continues to acquire and refine knowledge indefinitely . While valid , this ...
... scope of an expert system's capability evolves overtime and its sensitivity to critical detail increases with experience . Like experts , a true expert system continues to acquire and refine knowledge indefinitely . While valid , this ...
Page 215
... Scope . The scope , goals and budget of an expert system effort are the most important factors in determining what kind of system will be built , and therefore what kind of tool is required . In particular , the scope of a project will ...
... Scope . The scope , goals and budget of an expert system effort are the most important factors in determining what kind of system will be built , and therefore what kind of tool is required . In particular , the scope of a project will ...
Page 225
... scope and budget of the development effort , and characterizing the development team and development environment . The scope of the project determines the contexts to be targeted , whereas the development team and environment supply ...
... scope and budget of the development effort , and characterizing the development team and development environment . The scope of the project determines the contexts to be targeted , whereas the development team and environment supply ...
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