Vehicular sensor networks (VSNs) provide a collaborative sensing environment where mobile vehicles equipped with sensors of different nature (from chemical detectors to still/video...
Uichin Lee, Eugenio Magistretti, Mario Gerla, Paol...
Agent-based approaches to manufacturing scheduling and control have gained increasing attention in recent years. Such approaches are attractive because they o er increased robustn...
Many applications in multiagent learning are essentially convex optimization problems in which agents have only limited communication and partial information about the function be...
Renato L. G. Cavalcante, Alex Rogers, Nicholas R. ...
To manage load on large and dynamic networks we have developed Autonomous Mobile Programs (AMPs) that periodically use a cost model to decide where to execute. A disadvantage of d...
We consider the problem of coordination and control of large heterogeneous groups of agents distributed over the Internet in the context of Law-Governed Interaction (LGI) [2, 5]. L...
Xuhui Ao, Naftaly H. Minsky, Thu D. Nguyen, Victor...