Does Machine Learning have a Place in Game Development?

Game development is one very complex process which comprises of the game environments, all the plots, the features of each character, and among others. There is no doubt, that the process is labour-intensive and sometimes, or even more so, incurs a heavy cost. However, when it is executed efficiently, the results are astronomical. For instance, the fusion of Augmented Reality and game development that yielded Pokémon Go, the gaming sensation which raked in 200 million active users with in in the first month.

Virtual Reality is a very exciting sphere of reseearch, scientists predict that the influence of Artificial Intelligence will prove much more rewarding. Before we explore the possibility of success, it is important to get a critical understanding of how Artificial Intelligence works and how it can be applied.

We can either utilise Reinforcement Learning or Deep Learning.

In Deep Learning, a machine is able to learn from the actions of others. This can be achieved by subjecting the system to large streams of data. Via Deep Learning, we can classify, cluster, and make predictions about data based on the examples shown.

This involves imbuing the machine with certain tenets of right and wrong and then allowing it to execute tasks based on the recommendation. These random actions are either rewarded or punished based on how the system adheres to the laid-down precept.

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