Due to the non-stationary environment, learning in multi-agent systems is a challenging problem. This paper first introduces a new gradient-based learning algorithm, augmenting th...
—In this paper we present the European project named E-Support, aimed to the maintenance companies which work on the field, away from the central headquarters. The main goal of E...
This paper presents in-formation flocking, a novel information visualization technique that extends the original information flocking concept with dynamic and data-driven visual fo...
Abstract. HeCaSe2 is a multi-agent system that intends to help doctors to apply clinical guidelines to their patients in a semi-automatic fashion. HeCaSe2 agents need a lot of (sca...
We explore the suitability of Intensional Programming Paradigm for providing a programming model for coordinated problem solving in a multi-agent systems. We extend our previous wo...