Traditionally, membership to the fuzzy-rough lower, resp. upper approximation is determined by looking only at the worst, resp. best performing object. Consequently, when applied t...
Relational world models that can be learned from experience in stochastic domains have received significant attention recently. However, efficient planning using these models rema...
We introduce relational temporal difference learning as an effective approach to solving multi-agent Markov decision problems with large state spaces. Our algorithm uses temporal ...
Abstract. Ontology-based modelling is becoming increasingly important in the design of complex knowledge management applications. However, many problems related to large-scale onto...
Paolo Ceravolo, Angelo Corallo, Gianluca Elia, Ant...
With the dramatic development of web technologies, tremendous amount of information become available to users. The great advantages of the web are the ease with which information c...