Bayesian networks are formal graphical languages for representation and communication of decision scenarios requiring reasoning under uncertainty. We will analyze Bayesian network...
Among the main issues of future technology-enhanced learning systems, we can mention the following ones: the ability to reuse learning resources (learning objects, tools and servic...
This paper addresses the problem of scheduling jobs in soft real-time systems, where the utility of completing each job decreases over time. We present a utility-based framework fo...
Demand Bus System, a new public transportation system, is expected to be a convenient service for special transportation demands to solve more and more serious traffic problems con...
Abstract. In complex multi agent systems, the agents may be heterogeneous and possibly designed by different programmers. Thus, the importance of defining a standard framework for ...