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. |
From inside the book
Results 1-3 of 53
Page 81
... frames A frame can be viewed as a data structure , consisting of a number of slots . Each frame has a name , and each slot has a name . A slot can be filled by a value . There are relations between frames , the most important relation ...
... frames A frame can be viewed as a data structure , consisting of a number of slots . Each frame has a name , and each slot has a name . A slot can be filled by a value . There are relations between frames , the most important relation ...
Page 82
... Frame 2 ) says that Framel is a kind of Frame 2. Let the relation value Frame , Slot , Value ) be : Value is the value of slot Slot in frame Frame . If this slot is filled then this is the value ; otherwise the value is obtained by ...
... Frame 2 ) says that Framel is a kind of Frame 2. Let the relation value Frame , Slot , Value ) be : Value is the value of slot Slot in frame Frame . If this slot is filled then this is the value ; otherwise the value is obtained by ...
Page 185
... Frame - Based Abduction . Eighteen systems were studied including six rule based , two statistical , five frame based and five mixed approaches . They found that all methods could be adapted to any problem involving the selection of a ...
... Frame - Based Abduction . Eighteen systems were studied including six rule based , two statistical , five frame based and five mixed approaches . They found that all methods could be adapted to any problem involving the selection of a ...
Contents
From life cycle to development | 3 |
Choosing an expert system domain | 27 |
Tools and motivations | 47 |
Copyright | |
14 other sections not shown
Other editions - View all
Common terms and phrases
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