We report results of an interdisciplinary project which aims at endowing a real robot system with the capacity for learning by goaldirected imitation. The control architecture is b...
Wolfram Erlhagen, Albert Mukovskiy, Estela Bicho, ...
We considered different varieties of inference engines for a sub-system of Mission Control Technologies (MCT) being developed at NASA Ames Research center. One inference engine, J...
We study the important problem of how a supplier should optimally share the consequences of demand uncertainty (i.e., the cost of inventory excesses and shortages) with a retailer...
—This paper presents a theoretic framework of optimal resource allocation and admission control for peer-topeer networks. Peer’s behavioral rankings are incorporated into the r...
Consider a completely asynchronous network consisting of n parties where every two parties are connected by a private channel. An adversary At with unbounded computing power activ...