本教程是关于游戏AI人工智能NPC制作训练视频教程，3小时23分，大小：770 MB，附工程源文件，教程使用软件：所有游戏软件，作者：Nathan Auckett，共25个章节，语言：英语。

PACKT PUBLISHING IMPLEMENTING AI TO PLAY GAMES

In video games, Artificial Intelligence is used to generate responsive or intelligent behavior primarily in Non-Player Characters (NPCs), like human intelligence. In this course, we look at games; we understand how to decide which move to take based on future possibilities and payoffs (just as, in chess, we look n-moves ahead into the future).

We explore how to solve applications where there are a number of parameters to optimize, such as time or distance, and the possibilities are exponential. We look at how to design the various stage of the evolutionary algorithm that will control performance. We take a sample game—Tic-Tac-Toe—and show how various steps of the algorithm are implemented in code. And we look at color filling as a constraint satisfaction application and see how various algorithm concepts are applied in code.

Finally, we also explain a trip-planning application and see how the application is solved through evolutionary algorithms.

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