| 000 | 00953camuu2200289 a 4500 | |
| 001 | 000000872700 | |
| 005 | 20040308113230 | |
| 008 | 900416s1990 nyua b 001 0 eng | |
| 010 | ▼a 90036687 | |
| 020 | ▼a 0387973435 (alk. paper) | |
| 040 | ▼a DLC ▼c DLC ▼d 211009 | |
| 049 | 1 | ▼l 111279160 |
| 050 | 0 0 | ▼a Q335 ▼b .P414 1990 |
| 082 | 0 0 | ▼a 006.3 ▼2 21 |
| 090 | ▼a 006.3 ▼b P398a | |
| 100 | 1 | ▼a Peng, Yun, ▼d 1946- |
| 245 | 1 0 | ▼a Abductive inference models for diagnostic problem-solving / ▼c Yun Peng, James A. Reggia. |
| 260 | ▼a New York : ▼b Springer-Verlag, ▼c c1990. | |
| 300 | ▼a xii, 284 p. : ▼b ill. ; ▼c 25 cm. | |
| 440 | 0 | ▼a Symbolic computation., ▼p Artificial intelligence |
| 504 | ▼a Includes bibliographical references (p. [269]-278) and index. | |
| 650 | 0 | ▼a Artificial intelligence. |
| 650 | 0 | ▼a Problem solving. |
| 650 | 0 | ▼a Abduction (Logic) |
| 650 | 0 | ▼a Reasoning. |
| 700 | 1 | ▼a Reggia, James A. |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 중앙도서관/서고6층/ | 청구기호 006.3 P398a | 등록번호 111279160 (5회 대출) | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
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.
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.
정보제공 :
목차
1 Abduction and Diagnostic Inference.- 2 Computational Models for Diagnostic Problem Solving.- 3 Basics of Parsimonious Covering Theory.- 4 Probabilistic Causal Model.- 5 Diagnostic Strategies in the Probabilistic Causal Model.- 6 Causal Chaining.- 7 Parallel Processing for Diagnostic Problem-Solving.- 8 Conclusion.
정보제공 :