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 186
... language facilities . 3. KNOWLEDGE ENGINEERING LANGUAGES At the end of the 1970's the second phase began - that of developing special purpose languages without reference to some pioneering system . LISP , for example , can be used to ...
... language facilities . 3. KNOWLEDGE ENGINEERING LANGUAGES At the end of the 1970's the second phase began - that of developing special purpose languages without reference to some pioneering system . LISP , for example , can be used to ...
Page 187
... language constructs . Another early general purpose knowledge engineering language built in LISP was ROSIE - " Rule Oriented System for Implementing Expertise " ( Fain et al [ 28 ] ) . This combined a rule - based approach with a ...
... language constructs . Another early general purpose knowledge engineering language built in LISP was ROSIE - " Rule Oriented System for Implementing Expertise " ( Fain et al [ 28 ] ) . This combined a rule - based approach with a ...
Page 249
... language ( i.e. , the grammar of that language ) . It provides a structural analysis of the grammatical distinctions and regularities of the language that fluent speakers must be able to handle in order to understand and generate ...
... language ( i.e. , the grammar of that language ) . It provides a structural analysis of the grammatical distinctions and regularities of the language that fluent speakers must be able to handle in order to understand and generate ...
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