Artificial Intelligence in Gaming

Across virtually every functional industry, technology has become ever more integrated into our lives and gaming is no exception. Developers are now looking for ways to make games even more immersive, realistic and challenging – which is where AI comes into play.

With generative AI tools, developers อ่านต่อ can algorithmically generate game worlds, textures, models, objects and more. This saves time and resources as it would be implausibly laborious to manually construct these elements at the scale of an entire game environment.

Generative AI could also make NPCs behave more organically, giving players a more authentic experience. For example, if an NPC notices that its health is low it may find cover or hide until it reloads. Or, if an enemy sees the player coming, it might move around the room to avoid detection.

AI Games That Learn From You: Personalized Challenges Like Never Before

In the early days of AI in gaming, enemies and NPCs were programmed using a set of simple rules to perform basic tasks. For example, in the 1980 game Pacman, four ghosts were ruthlessly pursuing the player and each was set up to behave a little differently. This made the ghosts appear to have a will of their own and made the game feel alive.

The emergence of advanced AI technologies has opened the door to creating more complex and sophisticated opponents. The generative AI approach is not without its hurdles though. Copyright concerns are a major roadblock as many AI tools have been trained on large quantities of text and images scraped from the internet and Jess believes this amounts to mass copyright infringement. However, some studios are exploring systems that are trained internally and third parties advertising ethical tools that claim to work off authorised data are springing up.