Multiagent systems are rapidly finding applications in a variety of domains, including
robotics, distributed control, telecommunications, and economics. The complexity of many …

Much research in artificial intelligence is concerned with the development of autonomous
agents that can interact effectively with other agents. An important aspect of such agents is …

Cooperative multi-agent systems (MAS) are ones in which several agents attempt, through
their interaction, to jointly solve tasks or to maximize utility. Due to the interactions among the …

Traditionally, human facial expressions have been studied using either 2D static images or
2D video sequences. The 2D-based analysis is incapable of handing large pose variations …

Multi-agent systems can be used to address problems in a variety of domains, including
robotics, distributed control, telecommunications, and economics. The complexity of many …

In the last decades significant changes in the manufacturing environment have been
noticed: moving from a local economy towards a global economy, with markets asking for …

Multiagent systems (MAS) are widely accepted as an important method for solving problems
of a distributed nature. A key to the success of MAS is efficient and effective multiagent …

The majority of multi-agent system implementations aim to optimise agents' policies with
respect to a single objective, despite the fact that many real-world problem domains are …

Despite state-of-the-art solutions to detect phishing attacks, there is still a lack of accuracy for
the detection systems in the online mode which is leading to loopholes in web-based …

Modern societies are exposed to a myriad of risks ranging from disease to natural hazards
and technological disruptions. Exploring how the awareness of risk spreads and how it …