Game AI Uncovered Focus

Decision-Making
1. Auflage 2026
ISBN: 978-1-041-30609-2
Verlag: Taylor & Francis Ltd

Buch, Englisch, 226 Seiten, Format (B × H): 156 mm x 234 mm

Paul Roberts’ Game AI Uncovered Focus: Decision-Making brings together twenty chapters from the first five volumes of the Game AI Uncovered series into a handy single volume that focuses on the many different aspects of decision-making in game development.

The techniques covered in these pages include 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, and Watch Dogs: Legion. Contained within these pages are overviews and insights covering a host of different decision-making techniques, including different approaches to planning, reactionary systems, evolutions of 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 their 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.

Zielgruppe

Professional Practice & Development and Undergraduate Advanced

Autoren/Hrsg.

Roberts, Paul

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Spiele-Programmierung, Rendering, Animation

Inhaltsverzeichnis

Chapter 1 Follow Through: Ara: History Untold’s Long-Term Planning System
Chapter 2 Making Up Your AI’s Mind: Decision-Making Architectures
Chapter 3 Going Stateless: An Evolution of Behaviour Trees in Team17’s The Survivalists and Beyond
Chapter 4 Dynamic Behaviour Trees: Building for Scalability
Chapter 5 Stable Reaction Systems
Chapter 6 Reactive Behaviour Trees
Chapter 7 Behaviour Engine and Language: A Heterogeneous State Machine System
Chapter 8 Infinite Axis Utility System and Hierarchical State Machines
Chapter 9 Simplifying Utility AI Through Predefined Utility Curves
Chapter 10 Possibilistic Logic in Games
Chapter 11 Generalised AI Planners
Chapter 12 Automated Testing Using AI Planning
Chapter 13 SB-GOAP: Self-Balanced Goal Oriented Action Planner
Chapter 14 Bringing Ambient Animals to Life in Psychonauts 2
Chapter 15 Predicting When and Where to Intercept Players in Hood: Outlaws and Legends
Chapter 16 Getting Caught Off Guard: Situational Awareness in The Escapists 2
Chapter 17 Tactical Positioning Through Environmental Analysis
Chapter 18 Navigating Through a Traffic Intersection: How to Avoid Traffic Chaos When Jumping a Red Light
Chapter 19 Towards Controlled Design of Learning Agents for Automated Video Game Playing
Chapter 20 Teaching AI Agents to Lie at Social Deduction Games

Über Autor(innen)

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.