We consider two layered binary state neural networks in which cellular topographic self-organization occurs under correlational learning. The main result is that for separable inpu...
This paper explores current metaphors for visualizing agent-based models. Metaphors include grid, network, ndimensional cubes and landscape visualization techniques. A final secti...
Ontological modelling for machine inference has featured prominently in IT management research recently, but there is more immediate scope for knowledge modelling in the realm of h...
A honeynet is a portion of routed but otherwise unused address space that is instrumented for network traffic monitoring. It is an invaluable tool for understanding unwanted Intern...
Jin-yi Cai, Vinod Yegneswaran, Chris Alfeld, Paul ...
The paper presents a joint sensing strategy that combines tactile probing and range imaging for the mapping of the elastic properties that characterize 3D deformable objects. A fee...