Deployment of autonomous vehicles on public roads promises increased efficiency and
safety. It requires understanding the intent of human drivers and adapting to their driving …

Despite the advances in the autonomous driving domain, autonomous vehicles (AVs) are
still inefficient and limited in terms of cooperating with each other or coordinating with …

This paper introduces the Weighted Buffered Voronoi tessellation, which allows us to define
distributed, semicooperative multi-agent navigation policies with guarantees on collision …

With the adoption of autonomous vehicles on our roads, we will witness a mixed-autonomy
environment where autonomous and human-driven vehicles must learn to co-exist by …

There is a large body of evidence showing that a substantial proportion of people cooperate
in public goods games, even if the situation is one-shot and completely anonymous. In the …

This paper introduces a novel social preference-aware decentralized safe control framework
to address the responsibility allocation problem in multi-agent collision avoidance …

People's cooperativeness depends on many factors, such as their motives, cognition,
experiences, and the situation they are in. To date, it is unclear how these factors interact …

Context frames such as describing a Prisoner's Dilemma as a “community” or a “stock
exchange” game cause significant variation in cooperative behaviour. Here, we draw on …

Individual differences in prosocial behaviour are well–documented. Increasingly, there has
been a focus on the specific situations in which particular personality traits predict prosocial …

Abstract The Prisoner's Dilemma (PD) is a classic decision problem where 2 players
simultaneously must decide whether to cooperate or to act in their own narrow self-interest …