Development of grid-based multi agent systems for social learning

In this paper we present a novel architecture for streamlining human expert management for a multi agent system deployed at the grid with the objective of investigating social learning. The coupling of the communication services offered by the grid, with an administration layer and conventional web server programming, via a data synchronization utility, leads to the straightforward development of a web-based user interface that allows the monitoring and managing of diverse online distributed computing applications. Finally, we present some experimental results to underline the scale of experiments we view as indicative of such a platform. Our implementation has been developed and can be deployed over existing grid infrastructures without compromising security.