In spite of enormous previous efforts to model the growth of various networks, there have only been a few works that successfully describe the evolution of latent networks. In a l...
In this paper we present neuro-evolution of neural network controllers for mobile agents in a simulated environment. The controller is obtained through evolution of hypercube encod...
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
In mobile ad hoc networks (MANETs), multi-hop message relay is the common way for nodes to communicate and participate in network operations, making routing a primary issue. The e...
Xu Li, Amiya Nayak, Isabelle Ryl, David Simplot, I...
Open architecture networks provide applications with fine-grained control over network elements. With this control comes the risk of misuse and new challenges to security beyond th...