— Calibrating the parameters of an evolutionary algorithm (EA) is a laborious task. The highly stochastic nature of an EA typically leads to a high variance of the measurements. ...
Recommender systems are an emerging technology that helps consumers to find interesting products. A recommender system makes personalized product suggestions by extracting knowle...
Robots are complex entities that can be modeled as multi-agent systems. The multi-agent paradigm provides an integrated intelligence framework such as a path planning agent that us...
Abstract. The enormous improvements in the efficiency of model-checking techniques in recent years facilitates their application to ever more complex systems of concurrent and dist...
Maurice H. ter Beek, Mieke Massink, Diego Latella,...
This article describes a robotic adaptive learning appliance called Robo-eLC. The appliance is the result of a multidisciplinary approach which combines e-Learning and e-Commerce ...