We argue that it is useful to study classes of Multi-Agent System (MAS) architectures, corresponding to architectural styles in addition to particular tures. In this work we focus ...
Paul Davidsson, Stefan J. Johansson, Mikael Svahnb...
In Multi-Agent learning, agents must learn to select actions that maximize their utility given the action choices of the other agents. Cooperative Coevolution offers a way to evol...
Agents in open multi-agent systems (MAS) need means for locating other agents with which they may collaborate. To address this need, several agent location mechanisms were suggest...
Mischief is a system for classroom interaction that allows multiple children to use individual mice and cursors to interact with a single large display [20]. While the system can ...
Neema Moraveji, Kori Inkpen, Ed Cutrell, Ravin Bal...