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 186
... OPS5 , Forgy [ 25 ] ) which is an implementation language for a Production System . The developers of R1 ( or XCON , McDermott [ 26 ] ) chose OPS5 as a development medium . The system , written in LISP , is forward chained with a simple ...
... OPS5 , Forgy [ 25 ] ) which is an implementation language for a Production System . The developers of R1 ( or XCON , McDermott [ 26 ] ) chose OPS5 as a development medium . The system , written in LISP , is forward chained with a simple ...
Page 187
Methodologies and Tools Giovanni Guida, Carlo Tasso. explanation facility . The developers of OPS5 later produced OPS83 ( Forgy [ 27 ] ) . This is a rather different approach to OPS5 and employs procedural language constructs . Another ...
Methodologies and Tools Giovanni Guida, Carlo Tasso. explanation facility . The developers of OPS5 later produced OPS83 ( Forgy [ 27 ] ) . This is a rather different approach to OPS5 and employs procedural language constructs . Another ...
Page 191
... OPS5 . It provides a rule - based perspective based upon a blackboard architecture . Declarative knowledge is stored ... OPS5 to the system , but the pattern matching capability has been considerably improved over OPS5 . Knowledge ...
... OPS5 . It provides a rule - based perspective based upon a blackboard architecture . Declarative knowledge is stored ... OPS5 to the system , but the pattern matching capability has been considerably improved over OPS5 . Knowledge ...
Contents
From life cycle to development | 3 |
Choosing an expert system domain | 27 |
Tools and motivations | 47 |
Copyright | |
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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