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 75
... backward chaining in the depth - first fashion . Accordingly , in our example the reasoning started with the goal a , and ended when the fact e was encountered . As Prolog is a general programming language , other types of reasoning can ...
... backward chaining in the depth - first fashion . Accordingly , in our example the reasoning started with the goal a , and ended when the fact e was encountered . As Prolog is a general programming language , other types of reasoning can ...
Page 76
... backward chaining . % Backward chaining interpreter is_true ( P ) fact ( P ) . is true P ) : - : - if Cond then P , is true ( P ) . is true ( P1 and P2 ) : - is true P1 ) , is true P2 ) . 3.3 FIGURE 2 A simple backward chaining ...
... backward chaining . % Backward chaining interpreter is_true ( P ) fact ( P ) . is true P ) : - : - if Cond then P , is true ( P ) . is true ( P1 and P2 ) : - is true P1 ) , is true P2 ) . 3.3 FIGURE 2 A simple backward chaining ...
Page 194
... backward chaining ( e.g. Exsys , although a limited form of forward chaining can be done indirectly ) , Others offer backward chaining with a limited form of forward chaining ( e.g. Insight2 ) . Some shell offer a fair amount of control ...
... backward chaining ( e.g. Exsys , although a limited form of forward chaining can be done indirectly ) , Others offer backward chaining with a limited form of forward chaining ( e.g. Insight2 ) . Some shell offer a fair amount of control ...
Contents
From life cycle to development | 3 |
Choosing an expert system domain | 27 |
Tools and motivations | 47 |
Copyright | |
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abstract activities AI Magazine application approach Artificial Intelligence assessment attribute backward chaining behavior Breuker building cognitive complete components Computer concepts conceptual model construction context cycle decision defined described diagnosis domain expert domain knowledge environment example expert system development expert system evaluation expert system technology expertise facilities Figure formal function goal graphical heuristics identified implementation important inductive input instance integrated interaction interface interpretation models KADS KCML knowledge acquisition knowledge base Knowledge Craft knowledge elicitation knowledge engineer knowledge representation knowledge-based systems KRITON language layer LISP machine machine learning metaclasses methodology methods model-based reasoning MYCIN objects operations OPS5 output particular performance phase possible problem solving problem solving process produce programming Prolog protocol analysis prototype refinement relations reliability repertory grid represent requirements rule-based rules selection shells situations software engineering solution specific strategies target system task techniques types validity values