Game AI Uncovered


Book Description

Game AI Uncovered: Volume One kicks off a brand-new series of books that focus on the development of artificial intelligence in video games. This volume brings together the collected wisdom, ideas, tricks, and cutting-edge techniques from 20 of the top game AI professionals and researchers from around the world. The techniques discussed in these pages cover the underlying development of a wide array of published titles, including Hood: Outlaws and Legends, The Escapists 2, Sackboy: A Big Adventure, Call of Duty: Strike Team, GTI+ Club, Split/Second, Sonic All Stars Racing Transformed, Luna Abyss, Medal of Honor Heroes I & II, Age of Empires IV, Watch Dogs, Battlefield 2042, Plants vs. Zombies: Battle for Neighborville, Dead Space, and more. Contained within this volume are overviews and insight covering a host of different areas within game AI, including situational awareness, pathfinding, tethering, squad behaviours, coordination, auto-generating navigation link data, fluid movement, combining behaviour and animation systems, pedal control for cars, tactical positioning, level of detail, infinite axis utility systems, hierarchical state machines, bots for testing, reactive behaviour trees, and more. Beginners to the area of game AI, along with professional developers, will find a wealth of knowledge that will not only help in the development of your own games but will also spark ideas for new approaches. This volume includes chapters written by Andy Brown, Dr Allan Bruce, Richard Bull, Laurent Couvidou, Steven Dalton, Michele Ermacora, Jonas Gillberg, Dale Green, Johan Holthausen, Dr Aitor Santamaría Ibirika, Dr Nic Melder, Sarat Rallabandi, Bruno Rebaque, John Reynolds, Paul Roberts, David Rogers, Andrea Schiel, Huw Talliss, Dr Tommy Thompson, and David Wooldridge. .




Game AI Uncovered


Book Description

Game AI Uncovered: Volume One kicks off a brand-new series of books that focus on the development of artificial intelligence in video games. This volume brings together the collected wisdom, ideas, tricks, and cutting-edge techniques from 20 of the top game AI professionals and researchers from around the world. The techniques discussed in these pages cover the underlying development of a wide array of published titles, including Hood: Outlaws and Legends, The Escapists 2, Sackboy: A Big Adventure, Call of Duty: Strike Team, GTI+ Club, Split/Second, Sonic All Stars Racing Transformed, Luna Abyss, Medal of Honor Heroes I & II, Age of Empires IV, Watch Dogs, Battlefield 2042, Plants vs. Zombies: Battle for Neighborville, Dead Space, and more. Contained within this volume are overviews and insight covering a host of different areas within game AI, including situational awareness, pathfinding, tethering, squad behaviours, coordination, auto-generating navigation link data, fluid movement, combining behaviour and animation systems, pedal control for cars, tactical positioning, level of detail, infinite axis utility systems, hierarchical state machines, bots for testing, reactive behaviour trees, and more. Beginners to the area of game AI, along with professional developers, will find a wealth of knowledge that will not only help in the development of your own games but will also spark ideas for new approaches. This volume includes chapters written by Andy Brown, Dr Allan Bruce, Richard Bull, Laurent Couvidou, Steven Dalton, Michele Ermacora, Jonas Gillberg, Dale Green, Johan Holthausen, Dr Aitor Santamaría Ibirika, Dr Nic Melder, Sarat Rallabandi, Bruno Rebaque, John Reynolds, Paul Roberts, David Rogers, Andrea Schiel, Huw Talliss, Dr Tommy Thompson, and David Wooldridge. .




Game AI Pro 2


Book Description

Game AI Pro2: Collected Wisdom of Game AI Professionals presents cutting-edge tips, tricks, and techniques for artificial intelligence (AI) in games, drawn from developers of shipped commercial games as well as some of the best-known academics in the field. It contains knowledge, advice, hard-earned wisdom, and insights gathered from across the com




Impact and Potential of Machine Learning in the Metaverse


Book Description

In the digital landscape, the Metaverse emerges as a frontier of boundless possibilities. Yet, its potential remains largely untapped. The pressing challenge lies in harnessing the power of machine learning to navigate this uncharted territory, where virtual reality, augmented reality, and immersive technologies converge to redefine human interaction and experience. Impact and Potential of Machine Learning in the Metaverse offers a comprehensive examination of how machine learning techniques can shape the future of the Metaverse. This advanced work addresses key domains such as healthcare, education, gaming, and beyond. By delving into topics like digital twins in healthcare and blockchain-enabled security, the book not only sheds light on advancements but also confronts challenges head-on, inspiring scholars to explore new research directions and interdisciplinary collaborations. Through real-world case studies and practical applications, readers gain actionable insights into leveraging machine learning for transformative impact in the Metaverse.




AI Game Programming Wisdom 2


Book Description

Presents articles by artificial intelligence programmers that discuss techniques, concepts, architectures, and philosophies of AI game programming.




Game AI Uncovered


Book Description

Game AI Uncovered: Volume Two continues the series with the collected wisdom, ideas, tricks and cutting‐edge techniques from 22 of the top game AI professionals and researchers from around the world. The techniques discussed in these pages cover the underlying development of a wide array of published titles, including The Survivalists, Wheelman, Plants vs. Zombies: Battle for Neighborville, Dead Space, Zombie Army 4, Evil Genius 2, Sniper Elite 5, Sonic & All‐Stars Racing Transformed, DiRT: Showdown, and more. Contained within this volume are overviews and insights covering a host of different areas within game AI, including generalised planners, player imitation, awareness, dynamic behaviour trees, decision‐making architectures, agent learning for automated playthroughs, utility systems, machine learning for cinematography, directed acyclic graphs, environment steering, difficulty scenarios, environmental cues through voxels, automated testing approaches, dumbing down your AI, synchronized path following, and much more. Beginners to the area of game AI, along with professional developers, will find a wealth of knowledge that will not only help in the development of your own games but also spark ideas for new approaches. This volume includes chapters written by Nuno Vicente Barreto, Steve Bilton, Andy Brown, Dr Allan Bruce, Richard Bull, Phil Carlisle, Sarah Cook, Michele Condò, Steven Dalton, Rodolfo Fava, Jonas Gillberg, Dominik Gotojuch, Dale Green, Tobias Karlsson, Jonathan Keslake, Fernando Penousal Machado, Ivan Mateev, Dr Nic Melder, Dr Bram Ridder, Paul Roberts, Licínio Roque, and Andrea Schiel.




Programming Game AI by Example


Book Description

This book describes in detail many of the AI techniques used in modern computer games, explicity shows how to implement these practical techniques within the framework of several game developers with a practical foundation to game AI.




AI for Game Developers


Book Description

From the author of "Physics for Game Developers," comes a new, non-threatening introduction to the complex subject of game programming.




AI for Games


Book Description

What is artificial intelligence? How is artificial intelligence used in game development? Game development lives in its own technical world. It has its own idioms, skills, and challenges. That’s one of the reasons games are so much fun to work on. Each game has its own rules, its own aesthetic, and its own trade-offs, and the hardware it will run on keeps changing. AI for Games is designed to help you understand one element of game development: artificial intelligence (AI).




Artificial Intelligence and Games


Book Description

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.