Abstract- Multiagent reinforcement learning for multirobot systems is a challenging issue in both robotics and artificial intelligence. With the ever increasing interests in theor...
This manuscript presents a design for the emergent generation of short-term forecasts in multi-agent coordination and control systems. Food foraging behavior in ant colonies const...
Paul Valckenaers, Karuna Hadeli, Bart Saint Germai...
This paper presents DARX, our framework for building applications that provide adaptive fault tolerance. It relies on the fact that multi-agent platforms constitute a very strong ...
The implementation of multiple Grid computing portals has led us to develop a methodology for Grid portal development that facilitates rapid prototyping and building of portals. B...
Mary Thomas, Maytal Dahan, Kurt Mueller, Stephen M...
In this paper, we describe two mission critical applications currently deployed by Telecom Italia in the Operations Support System domains. The first one called "Network Neut...