Topics in Expert System Design: Methodologies and ToolsExpert 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 38
The need for the task is projected to continue for several years . The need must exist enough beyond the period of system de- velopment to generate the payoff . • The domain is fairly stable or , at least 388 D.S. Prerau.
The need for the task is projected to continue for several years . The need must exist enough beyond the period of system de- velopment to generate the payoff . • The domain is fairly stable or , at least 388 D.S. Prerau.
Page 199
The shells usually require a fairly short training period ( obviously this does depend on the shell ) but the required investment in training someone in PROLOG or LISP is much greater . The toolkits , being very sophisticated ...
The shells usually require a fairly short training period ( obviously this does depend on the shell ) but the required investment in training someone in PROLOG or LISP is much greater . The toolkits , being very sophisticated ...
Page 254
In the reconstruction technique , pictures depicting domain situations , or situation descriptions are presented for a fixed ( usually brief ) period and the practitioner is asked to reconstruct ( i.e. , draw or otherwise describe ) the ...
In the reconstruction technique , pictures depicting domain situations , or situation descriptions are presented for a fixed ( usually brief ) period and the practitioner is asked to reconstruct ( i.e. , draw or otherwise describe ) the ...
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Contents
From life cycle to development | 3 |
Choosing an expert system domain | 27 |
Tools and motivations | 47 |
Copyright | |
14 other sections not shown
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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