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 85
Page 234
... problems rather than attempting to develop a formal specification of the range of problems that arise in the domain and the factors that contribute to problem difficulty . -- or In this paper we we argue that knowledge acquisition for ...
... problems rather than attempting to develop a formal specification of the range of problems that arise in the domain and the factors that contribute to problem difficulty . -- or In this paper we we argue that knowledge acquisition for ...
Page 236
... problems that arose in the field . The problem was that the system developers were too focused on developing the knowledge base to handle specific cases and never developed a formal description of the space of problems that could arise ...
... problems that arose in the field . The problem was that the system developers were too focused on developing the knowledge base to handle specific cases and never developed a formal description of the space of problems that could arise ...
Page 396
... problems , i.e. the sub - problems that they may be broken into and the problem solving strategies that are employed . On the plan level the test cases should refer to the specific techniques ( plans , knowledge representation , control ...
... problems , i.e. the sub - problems that they may be broken into and the problem solving strategies that are employed . On the plan level the test cases should refer to the specific techniques ( plans , knowledge representation , control ...
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 addition allow analysis application approach attribute building complete components Computer concepts conclusion considered consists construction contains decision defined depends described detailed discussed domain effective elicitation environment evaluation example expert system expertise facilities fact Figure formal frame function given goal human identified implementation important inference input instance integrated Intelligence interaction interface International interpretation knowledge acquisition knowledge base knowledge engineer knowledge representation knowledge-based language learning limited machine major means mechanisms methodology methods objects operations output particular performance phase possible practical presented problem solving produce programming Prolog prototype question reasoning refer refinement relations Report represent representation requirements rules selection shells shows situations solution specific strategies structure studies system development task techniques types validity values