Game AI Uncovered Focus: Decision-Making
Editat de Paul Robertsen Limba Engleză Paperback – 27 oct 2026
The techniques covered in these pages cover the underlying development of a wide array of published titles, including Ara: History Untold, The Survivalists, Firefall, Zombie Army 4: Dead War, Evil Genius 2: World Domination, Sniper Elite 5, Psychonauts 2, The Escapists 2, Watch Dogs: Legion, amongst others.
Contained within these pages are overviews and insights covering a host of different decision-making techniques, including different approaches to planning, reactionary systems, evolutions to traditional behaviour trees, infinite axis utility systems, automated testing, situational awareness, tactical positioning, and traffic navigation.
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 anthology includes chapters written by Eric Alzheimer, Dr Allan Bruce, William Smith Chambers, Michele Condò, Steven Dalton, Matt Eland, Michele Ermacora, Dr Dominik Gotojuch, Tobias Karlsson, Jonathan Keslake, Eric S. Le Saux, Dr Nic Melder, Dr Bram Ridder, Paul Roberts, David Rogers, Mateo Saldivar, Andrea Schiel, Rebecca Vessal, Braeden Warnick, and David Wooldridge.
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Specificații
ISBN-13: 9781041306085
ISBN-10: 1041306083
Pagini: 224
Ilustrații: 146
Dimensiuni: 156 x 234 mm
Ediția:1
Editura: CRC Press
Colecția CRC Press
ISBN-10: 1041306083
Pagini: 224
Ilustrații: 146
Dimensiuni: 156 x 234 mm
Ediția:1
Editura: CRC Press
Colecția CRC Press
Public țintă
Professional Practice & Development and Undergraduate AdvancedCuprins
Introduction
1. Follow Through: Ara: History Untold’s Long-Term Planning System
2. Making Up Your AI’s Mind: Decision-Making Architectures
3. Going Stateless: An Evolution of Behaviour Trees in Team17’s The Survivalists and Beyond
4. Dynamic Behaviour Trees: Building for Scalability
5. Stable Reaction Systems
6. Reactive Behaviour Trees
7. Behaviour Engine and Language: A Heterogeneous State Machine System
8. Infinite Axis Utility System and Hierarchical State Machines
9. Simplifying Utility AI Through Predefined Utility Curves
10. Possibilistic Logic in Games
11. Generalised AI Planners
12. Automated Testing Using AI Planning
13. SB-GOAP: Self-Balanced Goal Oriented Action Planner
14. Bringing Ambient Animals to Life in Psychonauts 2
15. Predicting When and Where to Intercept Players in Hood: Outlaws and Legends
16. Getting Caught Off Guard: Situational Awareness in The Escapists 2
17. Tactical Positioning Through Environmental Analysis
18. Navigating Through a Traffic Intersection: How to Avoid Traffic Chaos When Jumping a Red Light
19. Towards Controlled Design of Learning Agents for Automated Video Game Playing
20. Teaching AI Agents to Lie at Social Deduction Games
1. Follow Through: Ara: History Untold’s Long-Term Planning System
2. Making Up Your AI’s Mind: Decision-Making Architectures
3. Going Stateless: An Evolution of Behaviour Trees in Team17’s The Survivalists and Beyond
4. Dynamic Behaviour Trees: Building for Scalability
5. Stable Reaction Systems
6. Reactive Behaviour Trees
7. Behaviour Engine and Language: A Heterogeneous State Machine System
8. Infinite Axis Utility System and Hierarchical State Machines
9. Simplifying Utility AI Through Predefined Utility Curves
10. Possibilistic Logic in Games
11. Generalised AI Planners
12. Automated Testing Using AI Planning
13. SB-GOAP: Self-Balanced Goal Oriented Action Planner
14. Bringing Ambient Animals to Life in Psychonauts 2
15. Predicting When and Where to Intercept Players in Hood: Outlaws and Legends
16. Getting Caught Off Guard: Situational Awareness in The Escapists 2
17. Tactical Positioning Through Environmental Analysis
18. Navigating Through a Traffic Intersection: How to Avoid Traffic Chaos When Jumping a Red Light
19. Towards Controlled Design of Learning Agents for Automated Video Game Playing
20. Teaching AI Agents to Lie at Social Deduction Games
Notă biografică
Paul Roberts is a Senior Lecturer and Course Lead for BSc (Hons) Computer Games Programming at the University of Staffordshire. Prior to this he was Technical Director at his own independent game studio Grinning Cat. He has 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. Paul has a range of published titles including Worms Revolution, Pitfall!, Call of Duty: Strike Team, The Lego Movie: The Video Game, Pixel-8, and Power-Up. Paul has a Master’s by Research 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 is currently a PhD candidate exploring believable decision-making based on memories for boxing games. Paul set up the GameAI Discord channel that has brought together hundreds of game AI professionals, where approaches are shared and ideas discussed. He has recently started the GameAIUncovered YouTube channel, which explains how different game AI concepts work, has written several books, some fiction, others academic, and is the editor for this Game AI Uncovered series.
Descriere
Contained within these pages are overviews and insights covering a host of different decision-making techniques, including different approaches to planning, reactionary systems, evolutions to traditional behaviour trees, infinite axis utility systems, automated testing, situational awareness, tactical positioning, and traffic navigation.