AI Games are games that use artificial intelligence to create engaging new gameplay experiences and challenge players with opponents who think on their feet. It’s not just a gimmick, though; developers, scientists, and researchers are using gaming to push forward real-world applications of AI that can improve things like autonomous vehicles, medical diagnostics, or customer service.

1980 saw the genesis of more luxury111 complex AI in video games, with the release of Computer Bismarck (a war strategy game recreating the sinking of the German battleship). These early enemy AIs operated on the same basic principles as Pac-Man’s ghosts and were often predictable or exploitable – an issue that still plagues some Grand Strategy titles today.

More advanced AI techniques, like behavioral trees or reinforcement learning, offer more nuanced decisions and adaptive behavior. Behavior trees use a hierarchical structure of nodes that define possible actions in an environment or situation, and can be dynamically adjusted based on the player’s response. Reinforcement learning algorithms reward or punish nonplayer characters based on their performance, and learn to adjust their behaviors to maximize rewards and minimize penalties.

AI Games: How Artificial Intelligence Is Revolutionizing the Gaming World

Generative AI is the most powerful of all, allowing nonplayer characters to autonomously interact with the player and the world. NPCs respond to the player’s choices and actions, forming relationships and narratives that evolve as the story progresses. Examples of this include Ubisoft’s Niantic: The Imaginary Town, GoodAI’s AI People, and Dead Meat’s latest game, AI Limit. The latter uses a small language model with half a billion parameters, compared to larger models that can have up to 30 billion parameters, to give the NPCs in AI Limit a wide range of responses.