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Behavioral Mathematics for Game AI [Anglais] [Broché]

David Mark

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Behavioral Mathematics for Game AI Suitable for intermediate to advanced game programmers, this book shows readers how to use AI programming tools and techniques to create more realistic and interesting behaviors in video games. It shows various ways of using statistics, formulas, and algorithms to create believable simulations and to model behavior. Full description

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Couverture | Copyright | Table des matières | Extrait | Index | Quatrième de couverture
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Amazon.com: 4.5 étoiles sur 5  20 commentaires
17 internautes sur 17 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 Very good at explaining complex concepts! 28 mai 2009
Par D. Britton - Publié sur Amazon.com
Format:Broché
I *love* this book. I simply do not understand the negative comments left by another reviewer. Because of my interest in politics, I want to write code that mimics human behavior, but until Dave Mark's book could not find anything that really "fit." Once upon a time, I took advanced math courses--even excelled in the later ones, but that was nearly 20 years ago, and I haven't really needed that type of math since. Mark explains all the math in easy to understand English. He also provides excel spreadsheets and C++ source that can be downloaded at [...] I don't remember when I've read a book as interesting as _Behavioral Mathematics for Game AI_, and that's saying something since, although I have an advanced degree in computer science, I've never really been a lover of math.
14 internautes sur 14 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 A must have for any AI Developer 8 juin 2009
Par Kenneth Shor - Publié sur Amazon.com
Format:Broché
Behavioral Mathematics is a book that I'm sure will continue to prove its worth for many future generations of Game AI Developers. I can make that strong assertion because Dave chose, instead of writing a large tomb about a possible AI architecture, to write a book that tackles (as the title implies) the mathematics behind Game AI.

Dave gives the reader a very strong toolkit for building Game AI, and by toolkit I don't mean a large library of code (although there is plenty of code) but fundamental knowledge, such as the concept of utility and how to apply it in a very practical way. Starting from simple example decisions he builds up to much more complicated cases, constantly tying everything back into practical applications of all the concepts he introduces.

Now, I don't mean to imply that this is some dry math book. Dave constantly sprinkles in his very unique brand of humor and ties in family stories that help cement any topic he's trying to get across. I would highly recommend this book to any professional or aspiring AI Programmer, or even just a player who wants a better understanding of whats going on under the hood in his favorite game.
21 internautes sur 23 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 A novel approach to game AI 15 mai 2009
Par Kevin Dill - Publié sur Amazon.com
Format:Broché
Truth in advertising: I was the technical editor on this book. However I don't have any further financial interest, so I have no conflict of interest in writing a review. I'm also a professional game developer with 6 titles under my belt, as well as a lecturer on the subject at several prominent universities.

There are only a handful of books on AI for Games, and the techniques used in games are quite a bit different than those used in academic AI. Most of the existing books just look at the standard architectures and topics - behavior trees, state machines, scripting, path planning, etc.

Dave takes a novel approach, and looks at techniques for building heuristics that evaluate the game situation and rate the various options. This is a critical part of decision making, it is something which most games with even moderately complex AI need to do, but it is something that up to now wasn't covered very well (if at all) in the literature.

I heartily recommend this book for anybody who's interested in learning more about how to build decision makers - whether for use in games or elsewhere. The material that is here is not something that you'll find somewhere else.
7 internautes sur 7 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 Bringing Your AI to Life 28 octobre 2009
Par Mister J - Publié sur Amazon.com
Format:Broché
"Behavioral Mathematics for Game AI" offers a unique examination of AI in a fun but technical and specific coverage of the subject from a mathematical perspective. While maintaining a conversational tone, the book manages to cover in depth several interesting topics and techniques.

Several ideas only touched on in other texts are given a comprehensive examination. When do rational agents fail to yield interesting behavior, and how do we deal with irrational opponents? How to we prioritize the tasks we want to accomplish, and how do we keep our agents from being erratic in their choices? Finally, how to we make sure our agents have enough variation to make them feel real?

Mr. Mark's book does not focus on some of the basic constructs common in game AI today such as state machines and behavior trees; instead, it focuses on the nuts and bolts of the math we can use to tie our agents together, augment them, and give them variety. These techniques make them more deliberate, less predictable, and pose more "interesting questions", as the author is so fond of mentioning: in short, these techniques bring AI agents to life and make them more fun to play with and against.

Dave has done a remarkable job of putting together a lot of complicated mathematical concepts in an easy to understand, pleasant to read package, and I recommend it to anyone with an interest in putting together interesting AI!
5 internautes sur 5 ont trouvé ce commentaire utile 
4.0 étoiles sur 5 An excellant starting pont 16 juillet 2010
Par Naked Pagan - Publié sur Amazon.com
Format:Broché
A lot what I think of a book comes from my expectations. The style, the content and the useful information that it provides me all factor into my opinion.

For starters, I do programming for a living. After 10 years of .Net Web sites and databases, I'm looking to expand my skill set. Not games, necessarily, but AI for sure. I tried a couple math books on Game theory, but they were still a few levels away from practical interpretation. This book brought it down to a level I could use.

In a nutshell, it's about how to program dice for an RPG. The scope is a little broader than that, but this is the main idea. In nontechnical language, the author discusses what the goals of AI are, how rational decisions are made, and how to use probability to generate irrational decisions to model an unpredictable world.

Math wise algebra would be a good idea, and maybe some basic understanding of calculus and statistics, but he gives sufficient background so that your understanding would not be hindered. The book doesn't really teach programming per se, so it really doesn't matter what language you use (although the examples are done in C).Specific algorithms, such was swarming and flocking, are also absent. The material here would be used after you have those ideas down...for example, you have your agents flocking, so now how does the flock decide what to do, and when?

This brings me to the one real draw back to the book. I could tolerate his jokes and stories about his kids, but I suspect some UMLs would have done wonders to make the material clearer. Use cases were almost there in his examples, but it just missed the mark. Maybe this was an attempt to keep the thinking less technical and open it to a wider market, but it is something he should have touched on.

I really didn't learn anything new, but rather, how to take a bunch concepts I was already familiar with and bring them together into a cohesive unit. It's got me thinking and planning and trying to figure out how to put it in to use. This is good. This is what the writer wanted.

So, I would recommend this book if you're at the point where you have your AI agents working, but you want them to be more flexible and unpredictable in their actions, or react with more independently to their environment. IF you check the price of this book on the secondary market, you can see its doing pretty well as a used book, which says a lot for anything in the technology field.
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