| ISBN13: | 9781032343174 |
| ISBN10: | 1032343176 |
| Kötéstípus: | Puhakötés |
| Terjedelem: | 226 oldal |
| Méret: | 234x156 mm |
| Nyelv: | angol |
| Illusztrációk: | 86 Illustrations, black & white; 27 Halftones, black & white; 59 Line drawings, black & white; 12 Tables, black & white |
| 700 |
Game AI Uncovered
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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.
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 Cond?, 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.
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.