In this article we describe a set of scalable techniques for learning the behavior of a group of agents in a collaborative multiagent setting. As a basis we use the framework of c...
The performance of the Global Array shared-memory nonuniform memory-access programming model is explored on the I-WAY, wide-area-network distributed supercomputer environment. The...
— Detecting all kinds of intrusions efficiently requires a global view of the monitored network. Built to increase the security of computer networks, traditional IDS are unfortu...
Abstract-- The need for efficient computation of approximate global state lies at the heart of a wide range of problems in distributed systems. Examples include routing in the Inte...
State estimation in multiagent settings involves updating an agent’s belief over the physical states and the space of other agents’ models. Performance of the previous approac...