— This paper describes a general approach for the unsupervised learning of behaviors in a behavior-based robot. The key idea is to formalize a behavior produced by a Motor Map dr...
Paolo Arena, Luigi Fortuna, Mattia Frasca, Luca Pa...
Simultaneous overlay networks compete for network resources and disrupt each other. If they cooperate with each other, the collective performance can be improved and they can coex...
To improve search efficiency and reduce unnecessary traffic in Peerto-Peer (P2P) networks, this paper proposes a trust-based probabilistic search algorithm, called preferential wa...
Polynomial time adversaries based on a computational view of cryptography have additional capabilities that the classical Dolev-Yao adversary model does not include. To relate thes...
This paper presents recent progress and extensions to TriQuaMesh (TQM) [1], targeted at providing good quality surface meshes: Increased robustness of the 1D mesh generator to han...