—Reinforcement learning (RL) is a valuable learning method when the systems require a selection of control actions whose consequences emerge over long periods for which input– ...
This paper presents a model-based approach to requirements engineering for reactive systems; we use an elevator controller as case study. We identify and justify two key propertie...
This paper shows the design and performance of an AQM (Active Queue Management) enabled router. The design is based on a classical proportional control system. The application of ...
Traditional access control models are often found to be inadequate for digital libraries. This is because the user population for digital libraries is very dynamic and not complete...
The Mobile Agent technology has already shown its advantages, but at the same time has already remarked new problems currently limiting its diffusion in commercial environments. A...
Paolo Bellavista, Antonio Corradi, Cesare Stefanel...