Computational Models of Cased-Based Reasoning for Medicine

作者: J. A. Campbell

DOI: 10.1007/978-3-662-02833-9_5

关键词:

摘要: Automation of medical knowledge, as for automation knowledge in many other fields, is achieved most often via rule-based expert systems. In medicine the impression that systems are way to handle probably more strongly established than any field, because routine and frequent citation AI projects like MYCIN evidence general success expert-system paradigm. On hand, it also be transmitted students by demonstration discussion (human) cases. training, therefore, there not much risk fields people who translate into software, or learn about already embodied such will continue struggle with when rules evidently inadequate express all relevant. The alternative example expressed cases a reminder only representation exists.

参考文章(4)
John Wolstencroft, Restructuring, reminding and repair: what's missing from models of analogy Ai Communications. ,vol. 2, pp. 58- 71 ,(1989) , 10.3233/AIC-1989-2202
J.A. Campbell, John Wolstencroft, Structure and significance of analogical reasoning Artificial Intelligence in Medicine. ,vol. 2, pp. 103- 118 ,(1990) , 10.1016/0933-3657(90)90032-M
Karl Duncker, Lynne S. Lees, On problem-solving ,(1945)