AI has classically come in three forms, supervised learning, unsupervised learning, and reinforcement learning. Supervised learning is where AI is given many example scenarios and the right answer for each one (such as images labeled as Cat or Dog). Unsupervised learning has been traditionally where AI learns to group items together by similarity (clustering), without explicit labels. Reinforcement learning is where AIs try out strategies (such as in a game) and attempt to optimize a reward function (such as points in the game). Many commercial AIs are based on supervised learning.

In recent years, the concept of artificial intelligence (AI) has emerged from the annals of science fiction into everyday life, as society grapples with a range of technological issues from cyber security to driverless cars. Along with other terms, such as machine learning, neural networks and'the Turing test', AI has become a contemporary media buzzword in both fact and fiction – despite a general lack of understanding of what AI really means to the average citizen of Earth. Out in space, however, the use of AI is arguably more mature and well-understood, at least for current applications, while its integration into future manned space exploration is pretty much a'no-brainer', along with sibling technologies such as robotics, telepresence and autonomous systems. Most of us, if asked to consider the link between AI and space, would probably think of HAL, the miscreant computer from '2001: A Space Odyssey', rather than any real-life application. Certainly, it seems to tick the box for any current definition of AI, which typically involves'computer systems able to perform tasks normally requiring human intelligence'.

Advertisers know ads are most successful when they promote the right product at the right time to the right customer. However, getting the combination of product, timing, customer and channel correct is incredibly difficult. Advertisers have long sought after the goal of hyperpersonalization, where individual promotions can be tailored and targeted to individual people at the right time, in the right format and through the right channel that will meet an immediate need and result in a greater chance of conversion. With traditional approaches to advertising -- print ads, TV commercials or billboards -- it's impossible to create highly personalized ads, as the audience is bound to be relatively diverse. The advent of IoT and mobile technology, combined with big data gleaned from customer interactions, gives advertisers the opportunity to target their customers through incredibly personal and timely information about customer behaviors.

This short note proposes the study of ancient games as a new frontier for game AI research. This aspect of games research has been largely neglected so far from an AI perspective, but could benefit significantly from the application of modern computational techniques.