Game AI Uncovered Focus: Navigation

Contained within these pages are overviews and insights covering a host of different decision-making techniques, including different approaches to pathfinding, path-following, flow fields, 3D navigation, vehicle navigation, creature navigation, nav-mesh usage, tethering, navigating broken data, and how to determine how believable a path is. Paul Roberts’ Game AI Uncovered Focus: Navigation 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 agent navigation in game development. The techniques covered in these pages cover the underlying development of a wide array of published titles, including Speedball, Lords of the Fallen, Dishonored, Dishonored 2, Battlefield 2042, Wheelman, Plants vs. Zombies: Battle for Neighborville, The Escapists, The Survivalists, EVE: Valkyrie, Dead Space, amongst others. Contained within these pages are overviews and insights covering a host of different decision-making techniques, including different approaches to pathfinding, path-following, environment steering, flow fields, 3D navigation, vehicle navigation, creature navigation, nav-mesh usage, tethering, navigating broken data, and how to determine how believable a path is. 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 Dr Allan Bruce, Andy Brown, Jason Lok Heng Chin, Laurent Couvidou, Steven Dalton, Rodolfo Fava, Jonas Gillberg, Dale Green, Johan Holthausen, Tobias Karlsson, Slavomir Krbyla, Bruno Rebaque, Sarat Rallabandi, Paul Roberts, and Marc Vassallucci.