When reasoning about actions and sensors in realistic domains, the ability to cope with uncertainty often plays an essential role. Among the approaches dealing with uncertainty, t...
Procedural representations of control policies have two advantages when facing the scale-up problem in learning tasks. First they are implicit, with potential for inductive genera...
When using a planner-based agent architecture, many things can go wrong. First and foremost, an agent might fail to execute one of the planned actions for some reasons. Even more ...
Preferences of a single agent are often partially ordered. For example, it may be hard to compare a novel with a biography. In such a situation, the agent may want the novel and t...
Maria Silvia Pini, Francesca Rossi, Kristen Brent ...
Agents in an organization need to coordinate their actions in order to reach the organizational goals. This research describes the relation between types of coordination and the au...
Bob van der Vecht, Frank Dignum, John-Jules Ch. Me...