In multiagent planning, it is often convenient to view a problem as two subproblems: agent local planning and coordination. Thus, we can classify agent activities into two categor...
The Hats Simulator is designed to be a lightweight proxy for many intelligence analysis problems, and thus a test environment for analysts' tools. It is a virtual world in wh...
This paper provides general information about research at the University of Auckland into autonomous agents in highly dynamic environments, in particular in RoboCup. The paper desc...
Multi-Agent Plan Recognition (MAPR) seeks to identify the dynamic team structures and team behaviors from the observations of the activity-sequences of a set of intelligent agents...