Multiagent environments are often highly dynamic and only partially observable which makes deliberative action planning computationally hard. In many such environments, however, a...
Simulation-based training in complex decision making often requires ample personnel for playing various roles (e.g. team mates, adversaries). Using intelligent agents may diminish ...
Karel van den Bosch, Maaike Harbers, Annerieke Heu...
Interactive multi-agent system improves reusability of agents by separating application design from agent design. However, it remains difficult for application designers (usually n...
The design and development of Internet applications can take advantage of a paradigm based on autonomous and mobile agents. However, agent mobility introduces peculiar coordinatio...
Downsizing the number of operators controlling complex systems can increase the decision-making demands on remaining operators, particularly in crisis situations. An answer to thi...
Edmund H. Durfee, Marcus J. Huber, Michael Kurnow,...