There is an increasing need for automated support for humans monitoring the activity of distributed teams of cooperating agents, both human and machine. We characterize the domain...
We have explored using neurophysiologic patterns as an approach for developing a deeper understanding of how teams collaborate when solving time-critical, complex real-world proble...
Ronald H. Stevens, Trysha Galloway, Chris Berka, M...
Abstract. Rapidly changing business requirements necessitate the adhoc composition of expert teams to handle complex business cases. Expertcentric properties such as skills, howeve...
Experimentation is one way to gain insight into how processes perform for a team, but industry teams rarely do experiments, fearing that such educational excursions will incur extr...
In a good team, members do not only perform their individual task, they also coordinate their actions with other members of the team. Developing such team skills usually involves e...
Jurriaan van Diggelen, Tijmen Muller, Karel van de...
Modern developments in the use of information technology within command and control allow unprecedented degrees of flexibility in the way teams deal with tasks. These developments...
Robert J. Houghton, Chris Baber, Malcolm Cowton, G...
Multi-agent domains consisting of teams of agents that need to collaborate in an adversarial environment offer challengingresearch opportunities. In this article, we introduce per...
A team of learning machines is a multiset of learning machines. A team is said to successfully learn a concept just in case each member of some nonempty subset, of predetermined s...
In this paper, we report results of a survey of graduate students who worked in teams on software projects. The survey revealed that there is a statistically significant gap betwe...
It is a challenging task for a team of multiple fast-moving robots to cooperate with each other and to compete with another team in a dynamic, real-time environment. For a robot te...