Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.
Please read the tutorial at this link. https://ebooknice.com/page/post?id=faq
We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.
For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.
EbookNice Team
Status:
Available4.6
12 reviews
ISBN 10: 0130903760
ISBN 13: 9780130903761
Author: Stuart Russell, Peter Norvig
The Instructor’s Manual Exercise Solutions for Artificial Intelligence: A Modern Approach (Second Edition) is an essential teaching companion designed specifically for instructors using Russell and Norvig’s widely acclaimed textbook. This manual provides detailed, worked-out solutions to the end-of-chapter exercises found in the second edition of Artificial Intelligence: A Modern Approach.
It covers a broad range of AI topics including search algorithms, knowledge representation, reasoning, planning, machine learning, and perception, reflecting the textbook’s comprehensive approach. The solutions are carefully explained to help instructors clarify difficult concepts and provide effective guidance to students.
I. Artificial Intelligence
1. Introduction
2. Intelligent Agents
II. Problem-solving
3. Solving Problems by Searching
4. Informed Search and Exploration
5. Constraint Satisfaction Problems
6. Adversarial Search
III. Knowledge and Reasoning
7. Logical Agents
8. First-Order Logic
9. Inference in First-Order Logic
10. Knowledge Representation
IV. Planning
11. Planning
12. Planning and Acting in the Real World
V. Uncertain Knowledge and Reasoning
13. Uncertainty
14. Probabilistic Reasoning
15. Probabilistic Reasoning over Time
16. Making Simple Decisions
17. Making Complex Decisions
VI. Learning
18. Learning from Observations
19. Knowledge in Learning
20. Statistical Learning Methods
21. Reinforcement Learning
VII. Communicating, Perceiving, and Acting
22. Communication
23. Probabilistic Language Processing
24. Perception
25. Robotics
VIII. Conclusions
26. Philosophical Foundations
27. AI: Present and Future
Appendices
A. Mathematical Background
B. Notes on Languages and Algorithms
Bibliography
Index
instructor’s manual exercise solutions
instructor's manual
instructor’s manual containing solutions to the exercises
instructor's manual textbooks
instructor solutions manual
Tags: Stuart Russell, Peter Norvig, Instructor’s Manual, Exercise Solutions, Artificial Intelligence, Modern Approach
4.4
21 reviews
5.0
21 reviews
4.8
28 reviews
4.6
10 reviews
4.7
13 reviews
4.5
5 reviews
4.6
12 reviews