Node connectivity is a key aspect of dynamically evolving networks. We address the problem of expressing, and constraining, node connectivity at a linguistic level. We extend the language KLAIM (Kernel Language for Agent Interaction and Mobility), that already provides primitives to explicitly configure the topology of networks, with the notion of clusters of nodes. This feature permits explicitly grouping nodes thus expressing, and constraining, their communication ability: two nodes can interact only if they are in the same cluster. Clusters can be used to model many real situations in a natural way and to easily express a number of basic properties of node connectivity, such as, e.g., locality and distribution of nodes, efficiency, and f...
KLAIM (A Kernel Language for Agents Interaction an Mobility) is a simple formalism that can be used ...
© Springer International Publishing AG 2017. This book introduces a number of recent developments on...
The structure of many complex networks includes edge directionality and weights on top of their topo...
Node connectivity is a key aspect of dynamically evolving networks. We address the problem of expres...
Node connectivity is a key aspect of dynamically evolving networks. We address the problem of expres...
AbstractNode connectivity is a key aspect of dynamically evolving networks. We address the problem o...
The structure of open nets, like the Internet, is highly dynamic, as the topology of component netwo...
KLAIM (Kernel Language for Agents Interaction and Mobility) is an experimental kernel language to mo...
Klaim (Kernel Language for Agents Interaction and Mobility) is an experimental language specificall...
A challenging goal of generative and developmental systems (GDS) is to effectively evolve neural net...
A challenging goal of generative and developmental systems (GDS) is to effectively evolve neural net...
Abstract. A new area of research, known as Global Computing, is by now well established. It aims at ...
The position of a node in a social network, or node centrality, can be quantified in several ways. T...
Abstract: For modeling real-life situations where not only the intensity of the relation existing be...
This dissertation studies the impact of a dynamical interaction network on the distributed learning ...
KLAIM (A Kernel Language for Agents Interaction an Mobility) is a simple formalism that can be used ...
© Springer International Publishing AG 2017. This book introduces a number of recent developments on...
The structure of many complex networks includes edge directionality and weights on top of their topo...
Node connectivity is a key aspect of dynamically evolving networks. We address the problem of expres...
Node connectivity is a key aspect of dynamically evolving networks. We address the problem of expres...
AbstractNode connectivity is a key aspect of dynamically evolving networks. We address the problem o...
The structure of open nets, like the Internet, is highly dynamic, as the topology of component netwo...
KLAIM (Kernel Language for Agents Interaction and Mobility) is an experimental kernel language to mo...
Klaim (Kernel Language for Agents Interaction and Mobility) is an experimental language specificall...
A challenging goal of generative and developmental systems (GDS) is to effectively evolve neural net...
A challenging goal of generative and developmental systems (GDS) is to effectively evolve neural net...
Abstract. A new area of research, known as Global Computing, is by now well established. It aims at ...
The position of a node in a social network, or node centrality, can be quantified in several ways. T...
Abstract: For modeling real-life situations where not only the intensity of the relation existing be...
This dissertation studies the impact of a dynamical interaction network on the distributed learning ...
KLAIM (A Kernel Language for Agents Interaction an Mobility) is a simple formalism that can be used ...
© Springer International Publishing AG 2017. This book introduces a number of recent developments on...
The structure of many complex networks includes edge directionality and weights on top of their topo...