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 121
The rule above is read : In the context CTX , CONDITION implies CONCLUSION with forward strength " a " and backward strength " B " . Specifically , the rule states that : if the context and the left hand side ( LHS ) of the decision ...
The rule above is read : In the context CTX , CONDITION implies CONCLUSION with forward strength " a " and backward strength " B " . Specifically , the rule states that : if the context and the left hand side ( LHS ) of the decision ...
Page 276
For instance in testing a hypothesis and evidence can be an input argument for a ' match ' knowledge source ( KS ) , resulting in a conclusion ( Figure 2a ) . The hypothesis may be a particular fault ; the evidence of identified values ...
For instance in testing a hypothesis and evidence can be an input argument for a ' match ' knowledge source ( KS ) , resulting in a conclusion ( Figure 2a ) . The hypothesis may be a particular fault ; the evidence of identified values ...
Page 361
A partially covered attribute can prohibit the system from attaining a conclusion or cause it to make a wrong conclusion when an uncovered attribute value is encountered at run time . Unreferenced attribute values may also indicate that ...
A partially covered attribute can prohibit the system from attaining a conclusion or cause it to make a wrong conclusion when an uncovered attribute value is encountered at run time . Unreferenced attribute values may also indicate that ...
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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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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