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This dates back to when it was used most notably in Chess, Nim, Pong, and Pac-Man. The few types of game AI-navigating, fighting, assisting, or analytical-add the missing elements to other players to make them feel real and challenging to compete. An enemy opponent is perhaps the most common and important implementation of game AI. Imagine that you are accompanied by a dog as you walk around or a flock of birds scatters when you make some noise. AI plays a huge part in forming this gaming experience by bringing realism and fun to the virtual world. Players seek a realistic and immersive experience in games. Keep in mind, though, that we will only touch on very specific game AI techniques the world of AI is as vast as it is great. So, it goes without saying that we will only cover what is necessary for you to create an awesome game AI. It is fair to say that AI is a very broad topic, so implementing every possible technique isn't the plan. Game AI is meant to be fun, so it only needs to seem smart to the player within this context. It mainly consists of hardcoded rules to allow game actors to make proper actions corresponding to different situations.
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Game AI is designed to work in a well-controlled, predicable virtual world. Game AI now is by no means comparable to the general AI in scientific research. Assuming you have a fairly extensive gaming history, you would know that game AI is generally not smarter than some older games where your enemy may get stuck in a corner and fail to get out. In AI, we try to virtually replicate this process to create systems that can have autonomous behavior. We take inputs, context, and our personal reasoning to decide on the actions we will perform. AI is derived from the idea of intelligence that helps living creatures make decisions. When you first think of Artificial Intelligence, robots immediately come to mind.