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 42
Page vi
... field . The purpose of this book is twofold . From a concrete and focused point of view , it is devoted to provide actual indications and tools to expert system designers who like to keep up to date with the current state - of- the ...
... field . The purpose of this book is twofold . From a concrete and focused point of view , it is devoted to provide actual indications and tools to expert system designers who like to keep up to date with the current state - of- the ...
Page 236
... field . A case in point was an expert system for troubleshooting that we had an opportunity to test in the field ( Roth , Bennett and Woods , 1987 ) . In spite of the fact that the system developers thought the AI system was ...
... field . A case in point was an expert system for troubleshooting that we had an opportunity to test in the field ( Roth , Bennett and Woods , 1987 ) . In spite of the fact that the system developers thought the AI system was ...
Page 420
... field . However , the fundamental criterion adopted for including references in the bibliography has not been ... fields where literature is scarce ( e.g. , development tools , project management , and technology transfer ) citations ...
... field . However , the fundamental criterion adopted for including references in the bibliography has not been ... fields where literature is scarce ( e.g. , development tools , project management , and technology transfer ) citations ...
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