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Game AI Uncovered: Volume Three PDF

247 Pages·28 MB·English
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by Paul Roberts| 247 pages| 28| English

About Game AI Uncovered: Volume Three

Game AI Uncovered: Volume Three continues the series with another collection of chapters from 18 of the top game AI professionals and researchers, from around the world. Each chapter includes wisdom, ideas, tips, and tricks that were used in the development of video games. The techniques discussed in these pages cover the underlying development of a wide array of published titles, including Watch Dogs: Legion, City of Gangsters, Eve: Valkyrie, Firefall, The Persistence, Advance Soccer, Alpha Beta Gunner, and Luna Abyss. Contained within this volume are insights that cover a host of different areas within game AI, including vehicle AI, simulating social norms, AI spawning fundamentals, pathfinding, creation of characters using components, animation-driven behaviour, tactical positioning in football, automated testing, abstract pattern matching, and machine learning for games. Beginners in 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 volume includes chapters written by Dr Allan Bruce, Anubha Banerjee, Bruno Rebaque, Dale Green, David Wooldridge, Eric S. Le Saux, Greg Irwin, Jason Lok Heng Chin, Johan Holthausen, John Reynolds, Mathias Siemonsmeier, Michele Condo, Dr Nic Melder, Paul Roberts, Phil Carlisle, Richard Bull, Robert Zubek, and Tobias Karlsson.

Detailed Information

Author:Paul Roberts
Pages:247
Language:English
File Size:28
Format:PDF
Price:FREE
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