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Behavioral Mathematics for Game AI (Anglais) Broché – 5 mars 2009

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4,4 étoiles sur 5 22 Commentaires sur Amazon.com |

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Présentation de l'éditeur

Perfect 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. Readers are shown various ways of using statistics, formulas, and algorithms to create believable simulations and to model behavior. Additionally, the book introduces a number of tools that can be used in conjunction with standard AI algorithms to make it easier to use the mathematical models. The included CD will have code samples and ready-to-use tools that readers can drop into their projects to extend their functionality.

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Amazon.com: 4.4 étoiles sur 5 22 commentaires
3 internautes sur 3 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 Amazing! 3 août 2013
Par Ernest Mallett - Publié sur Amazon.com
Format: Broché Achat vérifié
This is far from what I expected. I halfway expected a half-written book detailing a bunch of mathematics and calculations. This book greatly shows how to apply common Algebraic, Trigonometric, and Physics functions into AI development. Although some of the features in this book are still "over my head" I believe this would be an amazing reference for anyone choosing to program their own AI engine.

If you are considering buying this book keep in mind that there are few code examples, but if you are an experienced programmer then this is a great book to buy if you are wanting to learn how to make characters act, move, and overall make smart "human-like" decisions.

EDIT:

Ok, so along with this book as well as Programming Game AI by Example I finally decided to give up the cheaply written AI engine I was using. I have had these books for two weeks now and already have much the of functionality that I needed in my AI engine up and running. Although I use C# and neither of these books cover that language I was easily able to apply the theorems covered as well as convert some of the code over.
3 internautes sur 3 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 The second book on AI you should read. 2 avril 2013
Par Dan - Publié sur Amazon.com
Format: Broché Achat vérifié
If you are a Game Designer or Programmer, you need to read this book, it's incredibly useful. Don't let the word "Mathematics" in the title scare you off, this book is about how to model decision making using Utility Theory. The math content is exceptionally well explained, and the support materials include excel spreadsheets that help you visualize the math in a stress free way. It's written in a very easy to read conversational style and take a high level approach to the content that is big on concepts and light on number crunching and code.

If you're new to the subject of AI you should read "Introduction to Game AI" by Neil Kirby (Designers) or "Programming Game AI by Example" by Matt Buckland (Programmers)

This is the second book on AI that you should read.
1 internautes sur 1 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 Witty, insightful and 'naturally' educational 3 décembre 2013
Par lyndon - Publié sur Amazon.com
Format: Broché Achat vérifié
As a newcomer to the field of behavioural mathematics and coming from a background that is more visual and artistically oriented, I found this book to be nothing less than the ideal introductory solution with a very smooth and steady learning curve that gradually turns into a form of more complex theory and implementation through C++ programming examples. The scenarios the author presents may sound superficially trivial (such as taking a family out to dinner or a visit to the doctor) but serve the distinctive purpose of drawing the reader into an easy to relate to scenario, as a result I can hardly imagine readers finding the examples unimaginable and less than insightful when thoroughly analysed and expressed by the author in mathematics and code.
I would undoubtedly recommend this book without hesitation to individuals with some basic C++ programming knowledge, a sense of humour and an insatiable appetite for sociological analysis and mathematical representation thereof.
1 internautes sur 1 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 A more qualitative treatment of Game AI 26 avril 2014
Par Eli - Publié sur Amazon.com
Format: Broché Achat vérifié
Many books on Game AI feature difficult algorithms and face the challenge of communicating these difficult algorithms to students and practitioners. This book is unlike those in that it focuses on a more psychological treatment of game AI; a gap that has yet to be filled by any of the books I have seen. I would recommend this book as a starting point to Game AI because not only because it is mathematically light; but because it helps you understand the process of designing a Game AI and what questions need to be asked when designing an AI.
1 internautes sur 1 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 A very useful addition to any shelf 8 janvier 2014
Par Bill Merrill - Publié sur Amazon.com
Format: Format Kindle Achat vérifié
The book paces itself well through the introduction of game theory, and behavior theory, and dives right into well-explained principles and examples. This is not a dry, academic book; it reads comfortably yet succinctly. It's full of useful material you can digest and leverage rapidly. I'd recommend this to any of my colleagues in the industry and students alike. Despite the title, this book describes how utility can be applied to all sorts of tricky problems, not just behavior.
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