"ProbabilisticGame AI" introduces a modern approach to artifical intelligence that adds probability and statistics to traditional game AI to create intelligent and more realistic game play. Using probability to generate simple practical algorithms (mathematical ready-made recipes that can be plugged into code) you can create AI behavior that is far from predicatable and more realistic. In the probabilistic framework, there are exciting new possibilities for AI and this book delves into all of the elements: motion recognition, speech recognition and vision, all areas where the probabilistic approach is particularly valuable.
With this book, you can create AI characters that are engaging, believable, and fun.
--"Probabilistic Game AI" bridges the gap between modern probability-based AI and traditional Game AI.
--Offers a host of simple practical algorithms for making AI characters that behave more realistically. The algorithms are easy to implement and highly effective at creating next-generation AI characters.
--Funge uses familiar examples and frames of reference from actual games, so that while developers get the algorithms to cut and paste into their code, they ALSO get a deeper understanding of key AI concepts so that they can successfully build better AI characters from scratch.
--Companion web site offering interactive examples of key concepts from book.
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