AI games are video games that use artificial intelligence to add depth, complexity & realism. This trend is fueled by machine learning technologies like pathfinding algorithms & behavior trees which allow NPCs (non-player characters) to make intelligent decisions based on the environment they’re in. Reinforcement learning also allows AI opponents to adapt & learn from player actions, providing a personalized challenge. Procedural generation can also algorithmically create new levels, characters & missions, ensuring limitless content without the need for human input. URL :

AI-Driven Content Moderation in Online Game Communities

Players want games to work, not the underlying AI technology behind them. This is why game designers typically implement simple IF statements to get the basics to function properly and then layer on more complex AI features when there’s room in their budget.

However, advanced AI features in video games are rapidly expanding to include more advanced generative models that allow NPCs to express themselves more naturally. Generative AI uses speech as input to produce body gestures as output, giving the NPCs more realistic movements that are less predictable than traditional NPCs. This is particularly important in action-adventure games where the player is engaging with opponents who must think on their feet and react to what they see. For example, if an AI NPC realizes it is low on health then it might hide behind cover to reload, rather than simply run away from the enemy. This is a way to increase realism & keep the gameplay feeling fresh.