what_a_big的专栏

Neural networks, decision trees, genetic classifiers: If these are AI concepts you'd like to employ in your own games-and you know your way around C++-this is the book for you! In these pages, leading game AI developer Alex J. Champandard shows you how to create a slew of autonomous synthetic creatures-in the process exploring the techniques and theories central to AI game development. Complex concepts are made easily graspable, even fun, as you apply them to the step-by-step development of your own complete bot. The focus here is on designing individual creatures, each with unique abilities and skills. Each chapter tackles a specific problem, using demos and examples to drive the points home. Best of all, Alex draws on his own real-life experiences to provide tips and tricks to speed the process and resolve thorny issues. On the companion Web site, you'll find code examples and the samples of some of the games covered in the book.

Multi-Threaded Game Engine Design shows experienced game developers how to apply multi-thread techniques to game programming technology to improve game performance. Using Direct3D and C++, a sample game engine is created step-by-step throughout the course of the book, and numerous examples illustrate the concepts presented. Detailed screenshots and well documented source code help readers understand the techniques being presented throughout the book. Multi-threading is one of the hottest game development topics today and this book will show students how to apply advanced, cutting edge techniques to their game programming skill set.

The book presents some of the most relevant results from academia in the area of Artificial Intelligence for games. It emphasizes well theoretically supported work supported by developed prototypes, which should lead into integration of academic AI techniques into current electronic entertainment games. The book elaborates on the main results produced in Academia within the last 10 years regarding all aspects of Artificial Intelligence for games, including pathfinding, decision making, and learning. A general theme of the book is the coverage of techniques for facilitating the construction of flexible not prescripted AI for agents in games. Regarding pathfinding, the book includes new techniques for implementing real-time search methods that improve the results obtained through AI, as well as techniques for learning pathfinding behavior by observing actual players. Regarding decision making, the book describes new techniques for authoring tools that facilitate the construction by game designers (typically nonprogrammers) of behavior controlling software, by reusing patterns or actual cases of past behavior. Additionally, the book will cover a number of approaches proposed for extending the essentially pre-scripted nature of current commercial videogames AI into a more interactive form of narrative, where the story emerges from the interaction with the player. Some of those approaches rely on a layered architecture for the character AI, including beliefs, intentions and emotions, taking ideas from research on agent systems. The book also includes chapters on techniques for automatically or semiautomatically learning complex behavior from recorded traces of human or automatic players using different combinations of reinforcement learning, case-based reasoning, neural networks and genetic algorithms.

Book Pool评选最近10年计算机专业图书

Book Pool评选最近10年计算机专业图书

Book Pool评选最近10年计算机专业图书

Book Pool评选最近10年计算机专业图书

Book Pool评选最近10年计算机专业图书

Book Pool评选最近10年计算机专业图书

Book Pool评选最近10年计算机专业图书

Book Pool评选最近10年计算机专业图书

Book Pool评选最近10年计算机专业图书

Book Pool评选最近10年计算机专业图书

Book Pool评选最近10年计算机专业图书

Book Pool评选最近10年计算机专业图书

the mathematical books on my personal shelf

不等式。 G. H. Hardy - Inequalities

every programmer should understand number series

大师著作 The Theory of Numbers

G. H. Hardy - A mathematician's apology

A step-by-step guide to the most complete ARM Cortex-M platform, using a free and powerful development environment based on Eclipse and GCC

I Game Programming Wisdom 4 includes a collection of more than 50 new articles featuring cutting-edge techniques, algorithms, and architectures written by industry professionals for use in commercial game development. Organized into 7 sections, this comprehensive volume explores every important aspect of AI programming to help you develop and expand your own personal AI toolbox.

An Introduction to Differential Equations: Volume 2 is a stochastic version of Volume 1 (“An Introduction to Differential Equations: Deterministic Modeling, Methods and Analysis”). Both books have a similar design, but naturally, differ by calculi. Again, both volumes use an innovative style in the presentation of the topics, methods and concepts with adequate preparation in deterministic Calculus.

An Introduction to Differential Equations: Volume 2 is a stochastic version of Volume 1 (“An Introduction to Differential Equations: Deterministic Modeling, Methods and Analysis”). Both books have a similar design, but naturally, differ by calculi. Again, both volumes use an innovative style in the presentation of the topics, methods and concepts with adequate preparation in deterministic Calculus.

How many ways do exist to mix different ingredients, how manychances to win a gambling game, how many possible paths going fromone place to another in a network ? To this kind of questionsMathematics applied to computer gives a stimulating and exhaustiveanswer. This text, presented in three parts (Combinatorics,Probability, Graphs) addresses all those who wish to acquire basicor advanced knowledge in combinatorial theories. It is actuallyalso used as a textbook.

Algorithms + Data Structures = Programs[1] is a 1976 book written by Niklaus Wirth covering some of the fundamental topics of computer programming, particularly that algorithms and data structures are inherently related. For example, if one has a sorted list one will use a search algorithm optimal for sorted lists. The book was one of the most influential computer science books of the time and, like Wirth's other work, was extensively used in education.[2] The Turbo Pascal compiler written by Anders Hejlsberg was largely inspired by the "Tiny Pascal" compiler in Niklaus Wirth's book.

Python Data Analytics will help you tackle the world of data acquisition and analysis using the power of the Python language. At the heart of this book lies the coverage of pandas, an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.

Review `Review from previous edition Mathematicians of all kinds will find the book pleasant and stimulating reading, and even experts on the theory of numbers will find that the authors have something new to say on many of the topics they have selected... Each chapter is a model of clear exposition, and the notes at the ends of the chapters, with the references and suggestions for further reading, are invaluable.' Nature `This fascinating book... gives a full, vivid and exciting account of its subject, as far as this can be done without using too much advanced theory.' Mathematical Gazette `...an important reference work... which is certain to continue its long and successful life...' Mathematical Reviews `...remains invaluable as a first course on the subject, and as a source of food for thought for anyone wishing to strike out on his own.' Matyc Journal

Review "... this is a valuable, comprehensive treatment." Angele M. Hamel, reviews.com "... certain to become the standard reference book of the field. While Analytical Combinatorics has more than enough information to become a reference book, it is also written in a reader-friendly style that makes it appropriate as a course resource. In the past, it was not always clear what "analytic combinatorics" meant; this book will bring about a consensus on that question." M. Bona, Choice Magazine "Because of the breadth, and depth of topical coverage, the highly applicable results and the enjoyable writing that characterize this book, Analytic Combinatorics is now defined. The authors wrote the book on it." Miklos Bona, SIGNACT News

"[Sedgewick and Flajolet] are not only worldwide leaders of the field, they also are masters of exposition. I am sure that every serious computer scientist will find this book rewarding in many ways." —From the Foreword by Donald E. Knuth

3D Math Primer for Graphics and Game Development 2nd

kindle mobi Introduction to 3D Computer Graphics, Stereoscopic Image, and Animation - June, Fore

strategy game programming with directX 9.0

GPU Gems 3 by Hubert Nguyen (Aug 12, 2007)

GPU Gems 2: Programming Techniques for High-Performance Graphics and General-Purpose Computation

GPU Gems: Programming Techniques, Tips and Tricks for Real-Time Graphics

A 2009 Game Developer Magazine Front Line Award Finalist, this book covers both the theory and practice of game engine software development, bringing together complete coverage of a wide range of topics. The concepts and techniques described are the actual ones used by real game studios like Electronic Arts and Naughty Dog. The examples are often grounded in specific technologies, but the discussion extends way beyond any particular engine or API. The references and citations make it a great jumping off point for those who wish to dig deeper into any particular aspect of the game development process. Intended as the text for a college level series in game programming, this book can also be used by amateur software engineers, hobbyists, self-taught game programmers, and existing members of the game industry. Junior game engineers can use it to solidify their understanding of game technology and engine architecture. Even senior engineers who specialize in one particular field of game development can benefit from the bigger picture presented in these pages.

The heart of any system that simulates the physical interaction between objects is collision detection-the ability to detect when two objects have come into contact. This system is also one of the most difficult aspects of a physical simulation to implement correctly, and invariably it is the main consumer of CPU cycles. Practitioners, new to the field or otherwise, quickly discover that the attempt to build a fast, accurate, and robust collision detection system takes them down a long path fraught with perils and pitfalls unlike most they have ever encountered. Without in-depth knowledge and understanding of the issues associated with engineering a collision detection system, the end of that path is an abyss that has swallowed many a good programmer! Gino van den Bergen's new book is

Human behavior is never an exact science, making the design and programming of artificial intelligence that seeks to replicate human behavior difficult. Usually, the answers cannot be found in sterile algorithms that are often the focus of artificial intelligence programming. However, by analyzing why people behave the way we do, we can break down the process into increasingly smaller components. We can model many of those individual components in the language of logic and mathematics and then reassemble them into larger, more involved decision-making processes. Drawing from classical game theory, "Behavioral Mathematics for Game AI" covers both the psychological foundations of human decisions and the mathematical modeling techniques that AI designers and programmers can use to replicate them. With examples from both real life and game situations, you'll explore topics such as utility, the fallacy of rational behavior, and the inconsistencies and contradictions that human behavior often exhibits. You'll examine various ways of using statistics, formulas, and algorithms to create believable simulations and to model these dynamic, realistic, and interesting behaviors in video games. Finally, you'll be introduced to a number of tools you can use in conjunction with standard AI algorithms to make it easier to utilize the mathematical models.

Learn how AI experts create intelligent game objects and characters with this first volume in the AI Game Programming Wisdom series. This unique collection of articles gives programmers and developers access to the insights and wisdom of over thirty AI pros. Each article delves deep into key AI game programming issues and provides insightful new ideas and techniques that can be easily integrated into your own games. Everything from general AI architectures, rule based systems, level-of-detail AI, scripting language issues, to expert systems, fuzzy logic, neural networks, and genetic algorithms are thoroughly covered. If you're a game programmer (AI/logic, front-end, user interface, tools, graphics, etc.) this comprehensive resource will help you take your skills and knowledge to the next level.