The first time when artificial intelligence stunned gamers was in 1951 when a computer program which was run on the Ferranti Mark 1 machine had learned how to play Checkers and Chess.
Today, it has widespread application, be it racing games, adventure games.
Artificial Intelligence in recently released games is capable of learning the moves of a player and copy the moves as the play progresses.
This has made battles and quests more lively as the gamer is no longer facing a monotonous enemy but an agile program that offers a better challenge.
Companies are investing heavily in exploring new creative technology for the future.
The focus of AI in gaming is on machine learning, more specifically reinforcement learning. It is a type of program that learns how to behave in an environment by performing actions and getting feedback.
This is similar to how dogs and humans grasp in their early years wherein an action is taken, feedback is received and a conclusion is drawn on whether it was good or bad.
Game developers have been using artificial intelligence to transform the behavior and decision-making process of non-player characters (NPC) for a long time now.
The result of which can be noticed in many shooter-adventure games where players find it difficult to take on bots.
In 2017, an AI named AlphaGo beat top Go player Lee Sedol.
One of the latest advancements of AI in video games was made by researchers at Open AI. They developed an algorithm whose sole purpose was simply to explore with a sense of natural curiosity.
When this model was placed in Super Mario Bros., it successfully passed 11 levels out of pure inquisitiveness.
Thanks to these developments, ‘cognitive processing’ is now possible.
This means that the gamers are going to have to run for their lives as bots would be getting better with decision making and takedown players using better strategies than ever before.
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