Artificial intelligence is often associated with humanoid robots in dystopian worlds trying to extinct humanity. Elon Musk claims that machine intelligence will surpass human intelligence within the next five years and he has been one of the most prominent advocates to suggest that it's imperative to put mechanisms in place to restrict A.I. as he calls artificial intelligence "more dangerous than nukes". However, if we put aside robots and the existential threat of A.I. to humans aside for a second, it's worth pointing out that machine learning through artificial intelligence has already found its way into our daily lives. From advertising to games – computers have learned our habits to predict what we are going to do next. This is especially true in the world of online casinos.

This work focuses on studying players behaviour in interactive narratives with the aim to simulate their choices. Besides sub-optimal player behaviour due to limited knowledge about the environment, the difference in each player's style and preferences represents a challenge when trying to make an intelligent system mimic their actions. Based on observations from players interactions with an extract from the interactive fiction Anchorhead, we created a player profile to guide the behaviour of a generic player model based on the BDI (Belief-Desire-Intention) model of agency. We evaluated our approach using qualitative and quantitative methods and found that the player profile can improve the performance of the BDI player model. However, we found that players self-assessment did not yield accurate data to populate their player profile under our current approach.

Valve's Team Fortress 2 (TF2) is a vastly popular online first-person shooter (FPS) with a fanbase and support that stems back a decade. It's rare that a FPS continues to carry such a strong community. However, it's fair to say that TF2 has continued to evolve as a platform, with significant changes to this weird and eclectic shooter since its original launch back in 2007. But it's not the game itself I'm interested in today -- given that I typically talk about the AI that works behind the scenes. Rather, I'm going to talk about at its community.