Artificial Intelligence for Games

Front Cover
Taylor & Francis, 2006 - Art - 856 pages
7 Reviews

Creating robust artificial intelligence is one of the greatest challenges for game developers. The commercial success of a game is often dependent upon the quality of the AI, yet the engineering of AI is often begun late in the development process and is frequently misunderstood.

In this book, Ian Millington brings extensive professional experience to the problem of improving the quality of AI in games. A game developer since 1987, he was founder of Mindlathe Ltd., at the time the largest specialist AI company in gaming. Ian shows how to think about AI as an integral part of game play.

He describes numerous examples from real games and explores the underlying ideas through detailed case studies. He goes further to introduce many techniques little used by developers today. The book's CD-ROM contains a library of C++ source code and demonstration programs, and provides access to a website with a complete commercial source code library of AI algorithms and techniques.

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Review: Artificial Intelligence for Games (The Morgan Kaufmann Series in Interactive 3D Technology)

User Review  - Chris Maguire - Goodreads

Reading this book straight through was a slog; however, when I got to the end and read about the different game genres and their uses of AI I was happy to recognize most of the different techniques by ... Read full review

Review: Artificial Intelligence for Games (The Morgan Kaufmann Series in Interactive 3D Technology)

User Review  - Ken Poirier - Goodreads

This is by far one of the most comprehensive books on Practical Artificial Intelligence and I have read many. If you have a strong foundation in programming, this book will take you very far. Read full review

About the author (2006)

Ian Millington is a partner of IPR Ventures, a consulting company developing next-generation AI technologies for entertainment, modeling, and simulation. Previously he founded Mindlathe Ltd, the largest specialist AI middleware company in computer games, working with on a huge range of game genres and technologies. He has a long background in AI, including PhD research in complexity theory and natural computing. He has published academic and professional papers and articles on topics ranging from paleontology to hypertext.

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