Detecting Individual Decision-Making Style: Exploring Behavioral Stylometry in Chess. (arXiv:2208.01366v1 [cs.AI])

The advent of machine learning models that surpass human decision-making
ability in complex domains has initiated a movement towards building AI systems
that interact with humans. Many building blocks are essential for this
activity, with a central one being the algorithmic characterization of human
behavior. While much of the existing work focuses on aggregate human behavior,
an important long-range goal is to develop behavioral models that specialize to
individual people and can differentiate among them.

To formalize this process, we …

ai arxiv chess decision making