Multiagent learning literature has investigated iterated twoplayer games to develop mechanisms that allow agents to learn to converge on Nash Equilibrium strategy profiles. Such ...
Knowledge transfer between expert and novice agents is a challenging problem given that the knowledge representation and learning algorithms used by the novice learner can be fund...
Privacy is often cited as the main reason to adopt a multiagent approach for a certain problem. This also holds true for multiagent planning. Still, papers on multiagent planning ...
Formal approaches to modelling argumentation provide ways to present arguments and counterarguments, and to evaluate which arguments are, in a formal sense, warranted. While these...
This paper presents a novel approach for resource finding and job allocation in a computational Grid. The proposed system is called HYGRA, for HYperspace-based Grid Resource Alloca...
Fabrizio Messina, Giuseppe Pappalardo, Corrado San...