of SFI IT Academic Festival

The introduction of human factors into models and simulations is itself problematic. In physical (deterministic) systems, we can predict a future state with high probability based on the present and the mechanics of the system, even a complex one. Humans, their individual characteristics, irrationalities, fads, sentiments and, above all, free will all make it difficult. In a given situation, I can do something or not do something. Someone else in my position may act differently. I may also act differently a day later, I may change my mind on the basis of information or gossip. Or simply, for some unknown reason, act completely differently. How do you take this into account in your modelling?

I will show with a few examples. From traffic, to simulations of pedestrian traffic. I will present the congested city as a social phenomenon resulting from our individual decisions, I will introduce the basic discrete choice model - a tool to describe these phenomena. Finally, I will show how to incorporate AI into a collaborative simulation environment, where humans play for limited resources with intelligent machines in games for limited resources.