AI

At AIn't Games, we develop unique games, thoroughly tested by our in-house developed ANN architecture, for all demographics.

With the games we create ourselves, using ANN techniques, specifically using Monte Carlo Tree Search (MCTS), Convolutional Neural Network (CNN) and Reinforcement Learning within a reusable framework, will provide robust and cost-effective testing for some of the crucial rule decisions. This way, our games will not only be unique but also viable.

We also aim to create a game testing architecture not only specific to our own games but to also be able to serve the game development community. Using this architecture, small and medium sized game developers will be able to have a comprehensive approach in testing the rules for their games in a cost-effective manner.

The architecture can be leased out on a subscription basis, inclusive of periodic technical upgrades as the technology develops. Plus, we will provide a service to use our own resources for companies who might not have the expertise to do the game testing themselves.

The importance of using AI is not just limited to providing an apparatus: it has been shown that games become more enjoyable when the skill of your opponent mirrors the same level. The AI can adjust to the player's characteristics and skill levels mirroring those of regular people, can provide even more fun to anyone who wants to enjoy the games playing on their own.