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| 008 | 001031s2001 enk b 001 0 eng | |
| 010 | ▼a 00052954 | |
| 020 | ▼a 0521800641 | |
| 020 | ▼a 0521001013 (pbk.) | |
| 040 | ▼a DLC ▼c DLC ▼d UKM ▼d C#P ▼d 211009 | |
| 042 | ▼a pcc | |
| 049 | 1 | ▼l 111211226 |
| 050 | 0 0 | ▼a Q375 ▼b .K93 2001 |
| 082 | 0 0 | ▼a 003/.54 ▼2 21 |
| 090 | ▼a 003.54 ▼b K99u | |
| 100 | 1 | ▼a Kyburg, Henry Ely, ▼d 1928- |
| 245 | 1 0 | ▼a Uncertain inference / ▼c Henry E. Kyburg, Jr. and Choh Man Teng. |
| 260 | ▼a Cambridge ; ▼a New York : ▼b Cambridge University Press, ▼c 2001. | |
| 300 | ▼a xii, 298 p. ; ▼c 27 cm. | |
| 504 | ▼a Includes bibliographical references and indexes. | |
| 650 | 0 | ▼a Uncertainty (Information theory) |
| 650 | 0 | ▼a Probabilities. |
| 650 | 0 | ▼a Logic, Symbolic and mathematical. |
| 700 | 1 | ▼a Teng, Choh Man. |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 중앙도서관/서고6층/ | 청구기호 003.54 K99u | 등록번호 111211226 (1회 대출) | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
Coping with uncertainty is a necessary part of ordinary life and is crucial to an understanding of how the mind works. For example, it is a vital element in developing artificial intelligence that will not be undermined by its own rigidities. There have been many approaches to the problem of uncertain inference, ranging from probability to inductive logic to nonmonotonic logic. Thisbook seeks to provide a clear exposition of these approaches within a unified framework. The principal market for the book will be students and professionals in philosophy, computer science, and AI. Among the special features of the book are a chapter on evidential probability, which has not received a basic exposition before; chapters on nonmonotonic reasoning and theory replacement, matters rarely addressed in standard philosophical texts; and chapters on Mill's methods and statistical inference that cover material sorely lacking in the usual treatments of AI and computer science.
This book presents a clear exposition of the approaches to the problem of uncertain inference.
정보제공 :
목차
Preface; 1. Historical background; 2. First order logic; 3. The probability calculus; 4. Interpretations of probability; 5. Nonstandard measures of support; 6. Nonmonotonic reasoning; 7. Theory replacement; 8. Statistical inference; 9. Evidential probability; 10. Semantics; 11. Applications; 12. Scientific inference.
정보제공 :