AI In Gaming

There has never been a more exciting time for interactive media because Interactive media and games permeate our society, from entertainment to medical applications. Canada is home to one of the world’s largest per capita populations of video game players, its video game industry has long been regarded as a world leader, employing close to 22,000 full-time jobs and contributing almost $4 Billion to the country’s GDP in 2017.  

Game Design is a fusion of many 21  st  century skills. These range from software engineering and math to storytelling; system design and business to art.With the techniques of gaming, film, arts, humanities, and instructional materials all merging, I feel very lucky to be in this field right now!


While game AI might be considered a “purely technical” phenomenon not of interest to game designers and theorists, I argue that AI-based art and entertainment constitutes a new interdisciplinary agenda linking games studies, design practice, and technical research. I call this new interdisciplinary agenda expressive AI.

In the context of game analysis and design, expressive AI provides a language for talking about “readable” behavior, that is, behavior that a player can read meaning into. In the context of AI research, expressive AI opens up a new technical research agenda.

Game AI supports human authorship. Because game AI is a fundamental part of the player experience, the AI architecture must support game artists in expressing the behavioral potential needed for a specific design. Rather than “generic” AI that is reused over and over across games, game designers need architectural frameworks within which they can express their particular visions.

Traditional AI research often attempts to find general solutions that solve a problem once and for all. But for games, it doesn’t make sense to talk about solving problems “once and for all”. Game designers strive to create unique designs, not repeat the same design over and over.

Since game AI is a deep part of the design, novel AI architectures and approaches will need to be continuously developed within the context of specific designs and particular creative visions.

V3’s the (artificial intelligence and virtual reality experience)goal is to create a sense of aliveness, the sense that there is an entity living within the computer that has its own life independently of the player and cares about how the player’s actions impact this life.

Ref: Expressive AI: Games and Artificial Intelligence 
By Michael Mateas 
The Georgia Institute of Technology School of Literature, Communication & Culture and College of Computing