As Togelius (2019) also says, recent advancements in artificial intelligence have significantly enhanced our capabilities, particularly in the realm of game development; as we continue to explore and refine these techniques, their potential applications within games extend far beyond the traditional role of providing skilled opponents. It is imperative that we adapt our game design methodologies to fully leverage the power of advanced AI algorithms and to understand how to use generative AI to help us to create better game designing practices.
Therefore, artificial intelligence has been a constant companion in the evolution of video games, shaping the way we interact with virtual worlds. From the very beginning, AI in games has sought to simulate intelligent behaviors in non-player characters (NPCs), making gaming experiences more immersive and challenging. According to Millington (2009), the early stages of AI in gaming were modest, with simple algorithms determining basic movement patterns and reactions of NPCs. However, as technology advanced, so too did the possibilities. Today, AI in games is capable of generating complex and adaptive behaviors, making NPCs more realistic and challenging. Based on the ideas of Togelius and Millington, it is important to observe the evolution of techniques enabling the use of artificial intelligence in recent decades. Comparing 1962, when MIT students interacted with the Space War game prototype on a static screen with minimal input commands, to 2017 and Echo game, where enemies learn from the player's combat patterns and become increasingly dangerous and unpredictable, highlights this dramatic progression. Since 2017, advances have not stopped and, every year, we are surprised by a new use of AI in games.
In other words, when contemplating the application of AI in gaming, we are not merely considering the development of more efficient adversaries that learn from player behavior or environments that adapt to the specific challenges a player seeks. AI tools can be instrumental in brainstorming processes and in establishing the foundational pillars of game creation. Particularly for small-scale studios and producers with limited resources, access to generative AI tools can serve as a powerful asset to facilitate game development.
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References:
Millington, I., 2009. Artificial Intelligence for Games. Burlington: Morgan Kaufmann Publishers.
Togelius, J., 2019. Playing smart - on games, intelligence, and artificial intelligence. London: The MIT Press.
Togelius, J., 2024. Artificial general intelligence. London: The MIT Press.
