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.

    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.

    Digital media, he contends, offer particularly intelligible examples of things we need to understand about software in general; if we understand, for instance, the capabilities and histories of artificial intelligence techniques in the context of a computer game, we can use that understanding to judge the use of similar techniques in such higher-stakes social contexts as surveillance.

    These products are both lauded and criticized, especially when it comes to their role in education and learning. The need has never been greater to understand how these technologies are being designed and to evaluate their impact worldwide. Mobile Technology for Children brings together contributions from leaders in industry, non-profit organizations, and academia to offer practical solutions for the design and the future of mobile technology for children.

    Discover how to lead a team, communicate effectively, budget, schedule, staff, and design quality next-generation games. Producing Games walks you through every stage of the production process with a focus on the part the producer plays at each phase.

    The book describes game genres, where game ideas come from, game research, innovation in gaming, important gaming principles such as game mechanics, game balancing, AI, path finding and game tiers. The basics of programming, level designing, and film scriptwriting are explained by example. Each chapter has exercises to hone in on the newly learned designer skills that will display your work as a game designer and your knowledge in the game industry.