This paper presents a methodology for knowledge discovery from inherently distributed data without moving it from its original location, completely or partially, to other locations...
Diego M. Escalante, Miguel Angel Rodriguez, Antoni...
We present a hybrid approach to Distributed Constraint Satisfaction which combines incomplete, fast, penalty-based local search with complete, slower systematic search. Thus, we pr...
Abstract. To meet the new, more sophisticated needs of decision makers, a new generation of BI systems is emerging. In this paper we focus on two enabling technologies for this new...
We discuss the tensions between intensionality and extensionality of spatial observations in distributed systems, showing that there are natural models where extensional observati...
We consider an agent-target assignment problem in an unknown environment modeled as an undirected graph. Agents do not know this graph or the locations of the targets on it. Howeve...