Both explanation-based and inductive learning techniques have proven successful in a variety of distributed domains. However, learning in multi-agent systems does not necessarily ...
—The development of theoretical-based methods for the assessment of multi-agent systems properties is of critical importance. This work investigates methodologies for modeling, a...
Jose R. Celaya, Alan A. Desrochers, Robert J. Grav...
The growing importance of multi-agent applications and the need for a higher quality of service in these systems justify the increasing interest in fault-tolerant multi-agent syst...
Alessandro de Luna Almeida, Samir Aknine, Jean-Pie...
This paper defines an approach to simulation of natural systems, inspired by complex systems theory. A complex natural system is modeled as a multi-agent simulation system, agents...