| 期刊全称 | Abductive Inference Models for Diagnostic Problem-Solving | | 影响因子2023 | Yun Peng,James A. Reggia | | 视频video | | | 学科分类 | Symbolic Computation | | 图书封面 |  | | 影响因子 | Making a diagnosis when something goes wrong with a natural or m- made system can be difficult. In many fields, such as medicine or electr- ics, a long training period and apprenticeship are required to become a skilled diagnostician. During this time a novice diagnostician is asked to assimilate a large amount of knowledge about the class of systems to be diagnosed. In contrast, the novice is not really taught how to reason with this knowledge in arriving at a conclusion or a diagnosis, except perhaps implicitly through ease examples. This would seem to indicate that many of the essential aspects of diagnostic reasoning are a type of intuiti- based, common sense reasoning. More precisely, diagnostic reasoning can be classified as a type of inf- ence known as abductive reasoning or abduction. Abduction is defined to be a process of generating a plausible explanation for a given set of obs- vations or facts. Although mentioned in Aristotle‘s work, the study of f- mal aspects of abduction did not really start until about a century ago. | | Pindex | Book 1990 |
The information of publication is updating
|
|
发表于 2025-3-21 19:18:13
