Video games are a global entertainment phenomenon. Over 2.5 billion people play games across various devices & platforms. Games have evolved from simple puzzles to immersive virtual worlds with advanced AI-enabled environments & non-player characters. Go here :
A major advancement in game AI is the ability to adapt to the player’s unique playing style and skill level, delivering a personalized experience. Generative AI (gen AI) takes this a step further by enabling a new generation of “living games,” where the environment, characters, and storyline can evolve, grow, and change themselves over time.
Building AI That Learns From Human Mistakes in Games
One of the most popular applications for generative AI in gaming is in the creation of intelligent NPCs, or non-player characters. Using generative AI, players can interact with characters that react to their actions as naturally as a human would. For example, if the NPC is wounded in a fight, it may search for cover and then reload a weapon or throw a grenade when it is safe to do so.
Other applications for generative AI in gaming include creating realistic and responsive character interactions and dynamic world simulations that make the game feel alive. For instance, in the augmented reality game Wol, players can explore a forest with an AI-enabled owl that learns from them and adapts its behavior over time. These types of immersive experiences can make gamers stay engaged with the game longer. In addition, generative AI can analyze data on game performance, player feedback, and sentiment to optimize game content & mechanics.…
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