Topics in Expert System Design: Methodologies and ToolsExpert 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 61
In the first of the new methods , for example , notice that there is a new internal name ( e.g. ' output ) , a new label ... ( - > ' text - panel ' instantiate ' output " DIALOGUE " : x1 0.00 : xr 0.40 : yt 0.20 : yb 0.50 : panel - of ...
In the first of the new methods , for example , notice that there is a new internal name ( e.g. ' output ) , a new label ... ( - > ' text - panel ' instantiate ' output " DIALOGUE " : x1 0.00 : xr 0.40 : yt 0.20 : yb 0.50 : panel - of ...
Page 370
Test cases can be created by turning on an input - output logging facility and then running a problem in the usual manner . The test facility records all user input and program output . After a test case has been created , it can be ...
Test cases can be created by turning on an input - output logging facility and then running a problem in the usual manner . The test facility records all user input and program output . After a test case has been created , it can be ...
Page 404
The basic principle of Turing's test is that an expert judge compares the functionality of a system ( or rather : the output from a system ) with that of another system . If the expert judge cannot ...
The basic principle of Turing's test is that an expert judge compares the functionality of a system ( or rather : the output from a system ) with that of another system . If the expert judge cannot ...
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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