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Artificial intelligence : a modern approach / 4th ed

Artificial intelligence : a modern approach / 4th ed (1회 대출)

자료유형
단행본
개인저자
Russell, Stuart J. (Stuart Jonathan), author. Norvig, Peter, author.
서명 / 저자사항
Artificial intelligence : a modern approach / Stuart J. Russell and Peter Norvig.
판사항
4th ed.
발행사항
Hoboken :   Pearson,   c2021.  
형태사항
xvii, 1115 p. : col. ill. ; 27 cm.
총서사항
Pearson series in artificial intelligence
ISBN
9780134610993 (hardcover)
요약
"Updated edition of popular textbook on Artificial Intelligence. This edition specific looks at ways of keeping artificial intelligence under control"--
서지주기
Includes bibliographical references and index.
일반주제명
Artificial intelligence.
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010 ▼a 2019047498
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040 ▼a DLC ▼b eng ▼e rda ▼c DLC ▼d 211009
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100 1 ▼a Russell, Stuart J. ▼q (Stuart Jonathan), ▼e author.
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, ▼e author.
945 ▼a KLPA

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 과학도서관/Sci-Info(2층서고)/ 청구기호 006.3 R967a4 등록번호 121256745 도서상태 대출중 반납예정일 2021-07-14 예약 예약가능(1명 예약중) R 서비스 M

컨텐츠정보

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

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