Rule-based Expert Systems: The MYCIN Experiments of the Stanford Heuristic Programming ProjectBruce G. Buchanan, Edward Hance Shortliffe Addison-Wesley, 1984 - 748 halaman Artificial intelligence, or AI, is largely an experimental science--at least as much progress has been made by building and analyzing programs as by examining theoretical questions. MYCIN is one of several well-know programs that embody some intelligence and provide data on the extent to which intelligent behavior can be programmed. As with other AI programs, its development was slow and not always in a forward direction. The book shares the results of nearly a decade of work, the experiments performed, and present a coherent picture of the work. It presents a critical analysis of several pieces of related research, performed by a large number of scientists. The whole field of AI will benefit from detailed, retrospective examinations of experiments, for this is the way the scientific foundations of the field will gradually be defined. This is the reason this analysis of the MCYIN experiments is being offered to readers. |
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action analysis antimicrobial applied Artificial Intelligence asked associated bacteremia belief causal certainty factor CF's Chapter Clancey clause clinical parameter CNTXT complex concepts conclusions confirmed considered consultation system context tree control structure culture d-rule decision Dempster-Shafer theory DENDRAL described determine diagnosis dialogue discussed domain drug e.coli EMYCIN systems enterobacteriaceae evaluation evidence example expert systems expertise explanation FINDOUT GENTAMICIN goal gram gram stain GUIDON heuristics hypothesis identity implementation indicate infection infectious disease inference interaction Interlisp interpretation knowl knowledge acquisition knowledge base knowledge engineer knowledge representation LISP mechanism meningitis meta-rules MYCIN MYCIN's rules NEOMYCIN ONCOCIN organism ORGANISM-1 patient performance physicians possible premise problem production rules prototype question reasoning relevant representation rule models rule-based selection Shortliffe shown in Figure slot specific Stanford strategy student subset suggestive task TEIRESIAS therapy tion tutor understanding