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Which books should i buy?

Started by September 05, 2003 01:53 PM
10 comments, last by pacman2003 21 years, 2 months ago
hi, Which books should buy on AI, especially AI specific to game development? Regards.
"ai techniques in game programming" by mat buckland seems to be a good book. but i suggest that if u have not yet bought the book, wait till "ai techniques in game programming 2" by mat buckland is released and then buy that instead. n if u say how much experience u have in game development n ai maybe i could help u more.

hoping this helped.
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hi,
i m an intermediate level game programmer but a beginner in ai. My friend is currently in the uk and has already bought a copy of ai techniques for game programming 1 for me. Are there any other books that i should get?

Thanx and regards!
The Games Programming Gems books have some intresting AI articles, although if you already have AI Game Programming Wisdom you already have most of the best bits.

The next AI Game Programming Wisdom book will be out in december.

For more books, check out http://www.gameai.com/booklist.html.

Alan
"There will come a time when you believe everything is finished. That will be the beginning." -Louis L'Amour
quote: Original post by pacman2003
Which books should buy on AI, especially AI specific to game development?


What kind of games? What do you need the A.I. to do?

-Predictor
http://will.dwinnell.com



There''s also "Artificial Intelligence: A Modern Approach" (ISBN 0131038052 (1st ed) and 0137903952 (2nd ed)). It won''t give you much code, but it will give you a reference and explanation on just about *everything*.

I only have the 1st ed, and I just now discovered the 2nd ed. The table of contents is pretty different between the two. Here''s the TOC for the 2nd edition (which I''m ordering right now):

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 Read World.


V. UNCERTAIN KNOWLEDGE AND REASONING.

13. Uncertainty.
14. Probabilistic Reasoning Systems.
15. Probabilistic Reasoning Over Time.
16. Making Simple Decisions.
17. Making Complex Decisions.


VI. LEARNING.

18. Learning from Observations.
19. Statistical Learning.
20. Reinforcement Learning.
21. Knowledge in Learning.


VII. COMMUNICATING, PERCEIVING, AND ACTING.

22. Agents that Communicate.
23. Text Processing in the Large.
24. Perception.
25. Robotics.


VIII. CONCLUSIONS.

26. Philosophical Foundations.
27. AI: Present and Future.

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quote: Original post by Martel
There''s also "Artificial Intelligence: A Modern Approach" (ISBN 0131038052 (1st ed) and 0137903952 (2nd ed)). It won''t give you much code, but it will give you a reference and explanation on just about *everything*.


I like this book but the original poster of the question needs to understand that it''s very much a reference and academic book, not a game programming book per se. In fact there''s not a lot of "practical" AI stuff in there; as Martel said it''s a very good reference .

The Gems books (and yes I''ve had a hand in them) really are better choices, though the problem with them can be that they might not cover exactly what you want. It''s kind of hit or miss depending on what you''re after.




Ferretman

ferretman@gameai.com
www.gameai.com
From the High Mountains of Colorado

Ferretman
ferretman@gameai.com
From the High Mountains of Colorado
GameAI.Com

thanx for replying guys....i m keen on books covering GAs, NNs, Fuzzy logic, Reinforcement learning and Evolutionary algorithms in specific.

Regards.
For reinforcement learning, I''d recommend the Sutton and Barto book (you can read a partial version of it online. Can''t remember the URL though)
quote: Original post by fup
For reinforcement learning, I''d recommend the Sutton and Barto book (you can read a partial version of it online. Can''t remember the URL though)


Reinforcement Learning: An Introduction


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