We present a new machine learning method that, given a set of training examples, induces a definition of the target concept in terms of a hierarchy of intermediate concepts and th...
Blaz Zupan, Marko Bohanec, Janez Demsar, Ivan Brat...
We propose to return to the roots of Artificial/Computational Intelligence applicability to board games domain by attempting to mimic human way of playing (or human intelligence ...
—The problem of maximizing the sum of the transmit rates while limiting the outage probability below an appropriate threshold is investigated for networks where the nodes have li...
M. D'Angelo, Carlo Fischione, Matteo Butussi, Ales...
It is widely accepted in Distributed Artificial Intelligence that a crucial property of artificial agents is their autonomy. Whereas agent autonomy enables features of agent-base...
The design and implementation of distributed real-time dependable systems is often dominated by non-functional considerations like timeliness, object placement and fault tolerance...