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 55
... Lisp to CRL . CRL includes a lisp library of functions for creating , modifying , and deleting schemata , and for defining relations . CRL- PROLOG and -OPS may be evoked from Common Lisp . More generally , Knowledge Craft can be seen ...
... Lisp to CRL . CRL includes a lisp library of functions for creating , modifying , and deleting schemata , and for defining relations . CRL- PROLOG and -OPS may be evoked from Common Lisp . More generally , Knowledge Craft can be seen ...
Page 84
... Lisp . To Lisp's advantage , Lisp environments and special purpose hardware are more advanced than their Prolog counter- parts . Sophisticated Lisp environments contain large numbers of built - in functions which is a point for ...
... Lisp . To Lisp's advantage , Lisp environments and special purpose hardware are more advanced than their Prolog counter- parts . Sophisticated Lisp environments contain large numbers of built - in functions which is a point for ...
Page 182
... LISP . LISP is a versatile language and can support a rich variety of representational structures and most of the early expert systems such as MYCIN , PROSPECTOR etc. were built using some dialect of LISP . From a computer science point ...
... LISP . LISP is a versatile language and can support a rich variety of representational structures and most of the early expert systems such as MYCIN , PROSPECTOR etc. were built using some dialect of LISP . From a computer science point ...
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