Artificial Intelligence in Gaming（人工智能在游戏）.docVIP

Artificial Intelligence in Gaming Ryan Donnelly Department of Computer Science University of Wisconsin Platteville donnelry@ Abstract Artificial intelligence (AI) in gaming is getting more and more realistic as we head well into the twentieth century. But will we ever be at a state where games replicate humans perfectly on a consistent basis and learn their instincts? Games are getting more complicated. This is due to the use of more advanced algorithms that are being used as well as the new hardware that allows more computations. Games wouldn’t be where they are today if it wasn’t for artificial intelligence. I will be discussing the importance of artificial intelligence in games such as RTS-type games, First Person Shooter-type (FPS-type) and sports games. I will also discuss the most popular algorithms used today for artificial intelligence in games such as A* algorithm, finite state machines, and artificial neural networks. Introduction AI in gaming refers to methods used to produce intelligence of non-player characters or computer players. The methods are usually created from existing methods in AI. There may be other methods used but it is a vastly different approach to common AI. In first person shooter (FPS) games the computer is basically cheating due to the fact that it has to know where you are at all times to try to achieve the most intelligent non-player character. In a lot of cases, the AI of the non-player character has to be lowered or tweaked to give the human player a sign of fairness and a chance to win. Programmers will want to stay away from cheating as much as possible. In a way this makes the game have an unrealistic challenge because it is not using intelligence. Cheating also draws away focus from programmers to program more human-like bots. AI can also be thought as to simulate thinking, or as representing intelligent behavior in an algorithmic way [3]. When creating AI for games, one thing should always be in the programming