Computer-based advisory systems form with their users composite, human-machine systems. Redundancy and diversity between the human and the machine are often important for the depe...
Lorenzo Strigini, Andrey Povyakalo, Eugenio Alberd...
Factored Reinforcement Learning (frl) is a new technique to solve Factored Markov Decision Problems (fmdps) when the structure of the problem is not known in advance. Like Anticipa...
Olivier Sigaud, Martin V. Butz, Olga Kozlova, Chri...
Abstract - With the growth of the Internet and increased demand for Web Services has come a heightened need for scalable wide-area group communication systems. The need for trust i...
Kim Potter Kihlstrom, Robin Elliott, Kelsey Marshm...
Component based development is a promising approach for embedded systems. Typical for embedded software is the presence of resource constraints in multiple dimensions. An essentia...
—In distributed computing systems (DCSs) where server nodes can fail permanently with nonzero probability, the system performance can be assessed by means of the service reliabil...