| 000 | 00000cam u2200205 a 4500 | |
| 001 | 000046074188 | |
| 005 | 20260102101319 | |
| 008 | 210317s2021 njua b 001 0 eng | |
| 010 | ▼a 2019047498 | |
| 020 | ▼a 9780134610993 (hardcover) | |
| 035 | ▼a (KERIS)REF000019144964 | |
| 040 | ▼a DLC ▼b eng ▼e rda ▼c DLC ▼d 211009 | |
| 042 | ▼a pcc | |
| 050 | 0 0 | ▼a Q335 ▼b .R86 2021 |
| 082 | 0 4 | ▼a 006.3 ▼2 23 |
| 084 | ▼a 006.3 ▼2 DDCK | |
| 090 | ▼a 006.3 ▼b R967a4 | |
| 100 | 1 | ▼a Russell, Stuart J. ▼q (Stuart Jonathan), ▼d 1962- ▼0 AUTH(211009)163442. |
| 245 | 1 0 | ▼a Artificial intelligence : ▼b a modern approach / ▼c Stuart J. Russell and Peter Norvig. |
| 250 | ▼a 4th ed. | |
| 260 | ▼a Hoboken : ▼b Pearson, ▼c c2021. | |
| 300 | ▼a xvii, 1115 p. : ▼b col. ill. ; ▼c 27 cm. | |
| 336 | ▼a text ▼b txt ▼2 rdacontent | |
| 337 | ▼a unmediated ▼b n ▼2 rdamedia | |
| 338 | ▼a volume ▼b nc ▼2 rdacarrier | |
| 490 | 0 | ▼a Pearson series in artificial intelligence |
| 504 | ▼a Includes bibliographical references and index. | |
| 520 | ▼a "Updated edition of popular textbook on Artificial Intelligence. This edition specific looks at ways of keeping artificial intelligence under control"-- ▼c Provided by publisher. | |
| 650 | 0 | ▼a Artificial intelligence. |
| 700 | 1 | ▼a Norvig, Peter, ▼d 1956-, ▼e author ▼0 AUTH(211009)178933. |
| 945 | ▼a KLPA |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 과학도서관/Sci-Info/지정도서 | 청구기호 006.3 R967a4 | 등록번호 121256745 (12회 대출) | 도서상태 지정도서 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
The most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence
The long-anticipated revision of Artificial Intelligence: A Modern Approach explores the full breadth and depth of the field of artificial intelligence (AI). The 4th Edition brings readers up to date on the latest technologies, presents concepts in a more unified manner, and offers new or expanded coverage of machine learning, deep learning, transfer learning, multiagent systems, robotics, natural language processing, causality, probabilistic programming, privacy, fairness, and safe AI.
정보제공 :
목차
1. Introduction 2. Intelligent Agents 3. Solving Problems by Searching 4. Search in Complex Environments 5. Adversarial Search and Games 6. Constraint Satisfaction Problems 7. Logical Agents 8. First-Order Logic 9. Inference in First-Order Logic 10. Knowledge Representation 11. Automated Planning 12. Quantifying Uncertainty 13. Probabilistic Reasoning 14. Probabilistic Reasoning over Time 15. Probabilistic Programming 16. Making Simple Decisions 17. Making Complex Decisions 18. Multiagent Decision Making 19. Learning from Examples 20. Learning Probabilistic Models 21. Deep Learning 22. Reinforcement Learning 23. Natural Language Processing 24. Deep Learning for Natural Language Processing 25. Robotics 26. Philosophy and Ethics of AI 27. The Future of AI