We describe a primal-dual framework for the design and analysis of online strongly convex optimization algorithms. Our framework yields the tightest known logarithmic regret bound...
Large scale multi-agent systems (MASs) in unpredictable environments must use machine learning techniques to perform their goals and improve the performance of the system. This pap...
Abstract. An attempt is made to characterize situations in which the use of mobile devices can be useful for the development of collaborative systems. Mobile devices have advantage...
This paper suggests an evolutionary approach to design coordination strategies, a key issue in distributed intelligent systems. We focus on competitive strategies in the form of f...
Abstract: This paper proposes a way to identify professional knowledge in a heterogeneous HCI (HumanComputer Interaction) community of usability professionals, designers and resear...