Game AI Uncovered
Volume Two
1st Edition
Published on 4. June 2024
Book
Hardback
210 pages
978-1-032-34729-5 (ISBN)
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 Condo, 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, Licinio Roque, and Andrea Schiel.
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 Condo, 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, Licinio Roque, and Andrea Schiel.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Professional
Illustrations
59 s/w Zeichnungen, 12 s/w Tabellen, 86 s/w Abbildungen, 27 s/w Photographien bzw. Rasterbilder
12 Tables, black and white; 59 Line drawings, black and white; 27 Halftones, black and white; 86 Illustrations, black and white
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 17 mm
Weight
511 gr
ISBN-13
978-1-032-34729-5 (9781032347295)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
E-Book
06/2024
1st Edition
CRC Press
€53.99
Available for download
E-Book
06/2024
1st Edition
CRC Press
€53.99
Available for download
Book
06/2024
1st Edition
CRC Press
€73.30
Shipment within 10-20 days
Person
Paul Roberts is the technical director of the independent game studio Grinning Cat. Prior to this he worked in a variety of Principal / Lead AI Programmer roles for a range of studios in the UK including Sumo Digital, Team17, Traveller's Tales, Activision, and some smaller indie studios. For several years Paul also led the Games Programming department at Staffordshire University, where he taught Game AI and programming principles. He has a Master's degree in Computer Science with Artificial Intelligence, which focused on pathfinding, the development of the DRS algorithm and ways to test the believability of generated paths. Paul has written a number of books, some fiction, others academic, the latest of which is 'Artificial Intelligence in Games' published by CRC Press in 2022 and is also the editor for this Game AI Uncovered series.
Content
1.Low Bandwidth, Synchronised Path Following in Team17's The Survivalists. 2.Going Stateless: An Evolution of Behaviour Trees in Team17's The Survivalists and Beyon. 3.Monkey Business: NPC Player Imitation in Team17's The Survivalists. 4.Dynamic Behaviour Trees: Building for Scalability. 5.Building a Buddy: Choosing the Right Brain. 6.Making Up Your AI's Mind: Decision-Making Architectures. 7.High Speed Vehicle Driving in Wheelman. 8.AI Awareness in Sports Games. 9.Crafting the Illusion: Difficulty Scenarios. 10.Towards Controlled Design of Learning Agents for Automated Video Game Playing. 11.Utility Systems for High-Level Group Management. 12.Machine Learning Based Automated Cinematography for Games. 13.Directed Acyclic Graphs for Fun and Profit. 14.Navigating Broken Data. 15.Environment Steering. 16.Using Voxels for Environmental Cues. 17.The Creature Believability Scale. 18.Automated Testing Using AI Planning. 19.Dumbing Down AI - The Art of Making Intelligence Stupid. 20.Race Director. 21.SB-GOAP: Self-Balanced Goal Oriented Action Planner. 22.Generalised AI Planners. 23.Unleashing Mayhem: The Demolition Derby Game Modes of DiRT: Showdown.