The emergence of the Internet of things and the widespread deployment of diverse
computing systems have led to the formation of heterogeneous multi-agent systems (MAS) …

Intelligent transport systems, efficient electric grids, and sensor networks for data collection
and analysis are some examples of the multiagent systems (MAS) that cooperate to achieve …

To make decisions in a social context, humans have to predict the behavior of others, an
ability that is thought to rely on having a model of other minds known as “theory of mind.” …

The metacognitive sense of confidence can play a critical role in regulating decision making.
In particular, a lack of confidence can justify the explicit, potentially costly, instrumental …

Agents need to be on their toes when interacting with competitive others to avoid being
duped. Too much vigilance out of context can, however, be detrimental and produce …

While machines and robots must interact with humans, providing them with social skills has
been a largely overlooked topic. This is mostly a consequence of the fact that tasks such as …

Making intelligent decisions from incomplete information is critical in many applications: for
example, robots must choose actions based on imperfect sensors, and speech-based …

Penetration testing (pen-testing) aims to assess vulnerabilities in a computer network by
emulating possible attacks. Autonomous pen-testing allows frequent and regular pen-testing …

In this paper, we introduce a new formulation for the value function of a zero-sum Partially
Observable Stochastic Game (zs-POSG) in terms of a 'plan-time sufficient statistic', a …

Multi-agent system (MAS) is an area of distributed artificial intelligence that emphasizes the
joint behaviors of agents with some degree of autonomy and the complexities arising from …