In ArtBot players of all ages learn the basics of Artificial Intelligence. Your quest is to find and retrieve stolen art objects. You train your AI helper to recognise and locate the objects hidden in a maze of dungeons, and see how supervised and reinforcement learning works.

Our aim is to introduce players, through ArtBot, to core principles and concepts of Artificial Intelligence. Players have the quest to find and retrieve valuable art objects that have been stolen and hidden. Through the first part of the game, the process of supervised learning is introduced; players train their AI helper to recognise specific art objects (i.e. paintings and sculptures). They classify a set of training data, experiment with different parameters, and then see how well the helper was trained by observing how it classifies a set of testing data. This is where the players teach their helper to recognise which objects they are looking for, for their quest.