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 20
... execute it , and describe how such technologies should be implemented in practice ; tools methods , which indicate ... execution , taking into account the use of specific technologies and tools ; · documentation methods , which specify ...
... execute it , and describe how such technologies should be implemented in practice ; tools methods , which indicate ... execution , taking into account the use of specific technologies and tools ; · documentation methods , which specify ...
Page 22
... execution of some steps of the methodology . In fact , several tools are today going out of the research laboratories and some commercial products are already available on the market ( for example , tools for the analysis , modeling and ...
... execution of some steps of the methodology . In fact , several tools are today going out of the research laboratories and some commercial products are already available on the market ( for example , tools for the analysis , modeling and ...
Page 54
... execution . This enables developers to modify programs without needing to recompile large knowledge bases or program modules . Knowledge Craft is implemented in Common Lisp , and consequently , preserves the ability to execute either ...
... execution . This enables developers to modify programs without needing to recompile large knowledge bases or program modules . Knowledge Craft is implemented in Common Lisp , and consequently , preserves the ability to execute either ...
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