Intersections are at the core of congestion in urban areas. After the end of the Second World
War, the problem of intersection management has benefited from a growing body of …

Abstract Explainable Artificial Intelligence (XAI) has seen a surge in popularity in the past
few years, thanks to new legislations that promote the “right to explanation”. Many popular …

This paper presents findings on machine learning agent behavior prediction in a board
game application developed by a group of students. The goal of this research is to create a …

Multi-agent systems can be considered a natural paradigm when modeling various
transportation systems, whose management involves solving hard, dynamic, and distributed …

A Digital Twin ideally manifests the same behaviour (in silico) of its physical counterpart.
While considerable attention has been paid to the development of Digital Twins for physical …

Abstract The advent of Artificial Intelligence (AI) has brought about significant changes in our
daily lives with applications including industry, smart cities, agriculture, and telemedicine …

Agent explanation generation is the task of justifying the decisions of an agent after
observing its behaviour. Much of the previous explanation generation approaches can …