Machine Learning in Video Games

Machine learning is a part of artificial intelligence in which the learning was done using the data available in the environment. Machine learning algorithms are mainly used in game development to change from presripted games to adaptive play games. The main theme or plot of the game, game levels, maps in route, and racing games are considered as content. Context refers to the game screenplay, sound effects, and visual effects. In any type of game, maintaining the fun mode of the player is very important. Predictable moves by non-players in the game and same type of visual effects will reduce the player's interest in the game. The machine learning algorithms works in automatic content generation and nonpayer character behaviours in gameplay. In pathfinding games, puzzle games, strategy games adding intelligence to enemy and opponents makes the game more interesting. The enjoyment and fun differs from game to game. For example, in horror games, fun is experienced when safe point is reached.