Creating robust artificial intelligence is one of the greatest challenges for game developers. AI is increasingly important to games, and a game's commercial success is often dependent on the quality of the AI. However, AI is still not well understood by many developers, and it is often tacked on late in the development process. There remains tremendous room to improve the quality of AI in games. In his new book, Ian Millington brings extensive professional experience to this problem. A game developer since 1987, he was founder of Mindlathe Ltd., at the time the largest specialist AI company in gaming. Ian shows how to think about AI concepts from the start as an integral part of the game play, describes numerous examples from real games, and explores these ideas in-depth through detailed case studies. Plentiful C++ source code examples are included on the CD-ROM to illustrate implementation. He goes further to introduce many techniques currently unknown to developers, and discusses types of AI specific to different genres of games, such as driving or sports games. * A comprehensive, professional tutorial and reference to implement true AI in games written by an engineer with extensive industrial experience. * Walks through the entire development process from beginning to end. * Includes examples from over 100 real games, 10 in-depth case studies, and CD-ROM with sample code.
Creating robust artificial intelligence is one of the greatest challenges for game developers, yet the commercial success of a game is often dependent upon the quality of the AI. In this book, Ian Millington brings extensive professional experience to the problem of improving the quality of AI in games. He describes numerous examples from real games and explores the underlying ideas through detailed case studies. He goes further to introduce many techniques little used by developers today. The book's associated web site contains a library of C++ source code and demonstration programs, and a complete commercial source code library of AI algorithms and techniques. "Artificial Intelligence for Games - 2nd edition" will be highly useful to academics teaching courses on game AI, in that it includes exercises with each chapter. It will also include new and expanded coverage of the following: AI-oriented gameplay; Behavior driven AI; Casual games (puzzle games).
Learn to make games that are more fun and engaging! Building on fundamental principles of Artificial Intelligence, Funge explains how to create Non-Player Characters (NPCs) with progressively more sophisticated capabilities. Starting with the basic capability of acting in the game world, the book explains how to develop NPCs who can perceive, remember what they perceive, and then continue in the game play to think about the effects of possible actions, and finally learn from their experience. Funge considers the system architecture and explains how to implement potential behaviors (both reactive and deliberate) for intelligent and responsive NPCs allowing for games that are more fun and engaging. Emphasizing enduring design principles, Funge covers the basics of Game AI and provides a clear, easy to read introduction that beginning programmers and game designers will enjoy.
Pedro Antonio González-Calero,Marco Antonio Gómez-Martín
Author: Pedro Antonio González-Calero,Marco Antonio Gómez-Martín
Publisher: Springer Science & Business Media
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.
"This book examines modern artificial intelligence to display how it may be applied to computer games. It spans the divide that exists between the academic research community working with advanced artificial intelligence and the games programming community which must create and release new and interesting games, creating an invaluable collection supporting both technological research and the gaming industry"--Provided by publisher.
Advances in 3D visualization and physics-based simulation technology make it possible for game developers to create compelling, visually immersive gaming environments that were only dreamed of years ago. But today's game players have grown in sophistication along with the games they play. It's no longer enough to wow your players with dazzling graphics; the next step in creating even more immersive games is improved artificial intelligence, or AI.Fortunately, advanced AI game techniques are within the grasp of every game developer--not just those who dedicate their careers to AI. If you're new to game programming or if you're an experienced game programmer who needs to get up to speed quickly on AI techniques, you'll find AI for Game Developers to be the perfect starting point for understanding and applying AI techniques to your games.Written for the novice AI programmer, AI for Game Developers introduces you to techniques such as finite state machines, fuzzy logic, neural networks, and many others, in straightforward, easy-to-understand language, supported with code samples throughout the entire book (written in C/C++). From basic techniques such as chasing and evading, pattern movement, and flocking to genetic algorithms, the book presents a mix of deterministic (traditional) and non-deterministic (newer) AI techniques aimed squarely at beginners AI developers. Other topics covered in the book include: Potential function based movements: a technique that handles chasing, evading swarming, and collision avoidance simultaneously Basic pathfinding and waypoints, including an entire chapter devoted to the A* pathfinding algorithm AI scripting Rule-based AI: learn about variants other than fuzzy logic and finite state machines Basic probability Bayesian techniques Unlike other books on the subject, AI for Game Developers doesn't attempt to cover every aspect of game AI, but to provide you with usable, advanced techniques you can apply to your games right now. If you've wanted to use AI to extend the play-life of your games, make them more challenging, and most importantly, make them more fun, then this book is for you.
Die Nobelpreis-Schmiede Massachusetts Institute of Technology ist der bedeutendste technologische Think Tank der USA. Dort arbeitet Professor Max Tegmark mit den weltweit führenden Entwicklern künstlicher Intelligenz zusammen, die ihm exklusive Einblicke in ihre Labors gewähren. Die Erkenntnisse, die er daraus zieht, sind atemberaubend und zutiefst verstörend zugleich. Neigt sich die Ära der Menschen dem Ende zu? Der Physikprofessor Max Tegmark zeigt anhand der neusten Forschung, was die Menschheit erwartet. Hier eine Auswahl möglicher Szenarien: - Eroberer: Künstliche Intelligenz übernimmt die Macht und entledigt sich der Menschheit mit Methoden, die wir noch nicht einmal verstehen. - Der versklavte Gott: Die Menschen bemächtigen sich einer superintelligenten künstlichen Intelligenz und nutzen sie, um Hochtechnologien herzustellen. - Umkehr: Der technologische Fortschritt wird radikal unterbunden und wir kehren zu einer prä-technologischen Gesellschaft im Stil der Amish zurück. - Selbstzerstörung: Superintelligenz wird nicht erreicht, weil sich die Menschheit vorher nuklear oder anders selbst vernichtet. - Egalitäres Utopia: Es gibt weder Superintelligenz noch Besitz, Menschen und kybernetische Organismen existieren friedlich nebeneinander. Max Tegmark bietet kluge und fundierte Zukunftsszenarien basierend auf seinen exklusiven Einblicken in die aktuelle Forschung zur künstlichen Intelligenz.
Written by experts with years of gaming industry experience developing today's most popular games, Game Development Essentials: Game Artificial Intelligence provides an engaging introduction to "real world" game artificial intelligence techniques. With a clear, step-by-step approach, the book begins by covering artificial intelligence techniques that are relevant to the work of today's developers. This technical detail is then expanded through descriptions of how these techniques are actually used in games, as well as the specific issues that arise when using them. With a straightforward writing style, this book offers a guide to game artificial intelligence that is clear, relevant, and updated to reflect the most current technology and trends in the industry. Benefits: * Illustrations, screenshots, and diagrams provide visual descriptions of the algorithms, data structures, and games * Sidebars, Case Studies, and Profiles engage readers and provide a context for the information covered * Supplementary student CD includes a variety of working programs that readers can run to see various techniques in action, as well as full source code for the programs
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.
This book offers students and AI programmers a new perspective on the study of artificial intelligence concepts. The essential topics and theory of AI are presented, but it also includes practical information on data input & reduction as well as data output (i.e., algorithm usage). Because traditional AI concepts such as pattern recognition, numerical optimization and data mining are now simply types of algorithms, a different approach is needed. This “sensor / algorithm / effecter” approach grounds the algorithms with an environment, helps students and AI practitioners to better understand them, and subsequently, how to apply them. The book has numerous up to date applications in game programming, intelligent agents, neural networks, artificial immune systems, and more. A CD-ROM with simulations, code, and figures accompanies the book.
This is the first textbook dedicated to explaining how artificial intelligence (AI) techniques can be used in and for games. After introductory chapters that explain the background and key techniques in AI and games, the authors explain how to use AI to play games, to generate content for games and to model players. The book will be suitable for undergraduate and graduate courses in games, artificial intelligence, design, human-computer interaction, and computational intelligence, and also for self-study by industrial game developers and practitioners. The authors have developed a website (http://www.gameaibook.org) that complements the material covered in the book with up-to-date exercises, lecture slides and reading.
Synthetic Creatures with Learning and Reactive Behaviors
Author: Alex J. Champandard
Publisher: New Riders
A definitive overview of a variety of popular AI techniques for game development takes experienced programmers through the entire design process, explaining how to create autonomous synthetic creatures and their unique abilities and skills and covering such topics as fuzzy logic, genetic algorithms, weapon selection, adaptive strategies, and more. Original. (Advanced)
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.
- Die bekannten Design Patterns der Gang of Four im konkreten Einsatz für die Entwicklung von Games - Zahlreiche weitere vom Autor entwickelte Patterns - Sequenzierungs-, Verhaltens-, Entkopplungs- und Optimierungsmuster Für viele Spieleprogrammierer stellt die Finalisierung ihres Spiels die größte Herausforderung dar. Viele Projekte verlaufen im Sande, weil Programmierer der Komplexität des eigenen Codes nicht gewachsen sind. Die im Buch beschriebenen Design Patterns nehmen genau dieses Problem in Angriff. Der Autor blickt auf jahrelange Erfahrung in der Entwicklung von weltweit erfolgreichen Games zurück und stellt erprobte Patterns vor, mit deren Hilfe Sie Ihren Code entwirren und optimieren können. Die Patterns sind in Form unabhängiger Fallbeispiele organisiert, so dass Sie sich nur mit den für Sie relevanten zu befassen brauchen und das Buch auch hervorragend zum Nachschlagen verwenden können. Sie erfahren, wie man eine stabile Game Loop schreibt, wie Spielobjekte mithilfe von Komponenten organisiert werden können und wie man den CPU-Cache nutzt, um die Performance zu verbessern. Außerdem werden Sie sich damit beschäftigen, wie Skript-Engines funktionieren, wie Sie Ihren Code mittels Quadtrees und anderen räumlichen Aufteilungen optimieren und wie sich die klassischen Design Patterns in Spielen einsetzen lassen.
On Games, Intelligence, and Artificial Intelligence
Author: Julian Togelius
Publisher: MIT Press
Category: Games & Activities
A new vision of the future of games and game design, enabled by AI. Can games measure intelligence? How will artificial intelligence inform games of the future? In Playing Smart, Julian Togelius explores the connections between games and intelligence to offer a new vision of future games and game design. Video games already depend on AI. We use games to test AI algorithms, challenge our thinking, and better understand both natural and artificial intelligence. In the future, Togelius argues, game designers will be able to create smarter games that make us smarter in turn, applying advanced AI to help design games. In this book, he tells us how. Games are the past, present, and future of artificial intelligence. In 1948, Alan Turing, one of the founding fathers of computer science and artificial intelligence, handwrote a program for chess. Today we have IBM's Deep Blue and DeepMind's AlphaGo, and huge efforts go into developing AI that can play such arcade games as Pac-Man. Programmers continue to use games to test and develop AI, creating new benchmarks for AI while also challenging human assumptions and cognitive abilities. Game design is at heart a cognitive science, Togelius reminds us—when we play or design a game, we plan, think spatially, make predictions, move, and assess ourselves and our performance. By studying how we play and design games, Togelius writes, we can better understand how humans and machines think. AI can do more for game design than providing a skillful opponent. We can harness it to build game-playing and game-designing AI agents, enabling a new generation of AI-augmented games. With AI, we can explore new frontiers in learning and play.