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 94
... shown on the screen of the knowledge system . model . Some KB objects have corresponding icons in the graphical model shown in Figure 4-3 . Each graphical icon in Figure 4-3 has an underlying symbolic description in the application ...
... shown on the screen of the knowledge system . model . Some KB objects have corresponding icons in the graphical model shown in Figure 4-3 . Each graphical icon in Figure 4-3 has an underlying symbolic description in the application ...
Page 97
... shown in Figure 4-5 . There is a detailed description of each KB object , such as that shown in Figure 4-8 . Concepts and concrete objects have detailed descriptions , such as the description of an example activity shown in this figure ...
... shown in Figure 4-5 . There is a detailed description of each KB object , such as that shown in Figure 4-8 . Concepts and concrete objects have detailed descriptions , such as the description of an example activity shown in this figure ...
Page 104
... shown in Figure 4-8 , showing the detailed description of an object ; • Object - object relations , such as shown in Figure 4-7 , showing user- defined relations among objects ; • Object hierarchies , such as such as shown in Figure 4-5 ...
... shown in Figure 4-8 , showing the detailed description of an object ; • Object - object relations , such as shown in Figure 4-7 , showing user- defined relations among objects ; • Object hierarchies , such as such as shown in Figure 4-5 ...
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 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