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DSN
2003
IEEE
16 years 3 days ago
Human-Machine Diversity in the Use of Computerised Advisory Systems: A Case Study
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...
ABIALS
2008
Springer
15 years 8 months ago
Anticipatory Learning Classifier Systems and Factored Reinforcement Learning
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...
PDPTA
2008
15 years 8 months ago
Intrusion-Tolerant Dissemination in Large-Scale Systems
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...
ENTCS
2006
231views more  ENTCS 2006»
15 years 6 months ago
SaveCCM: An Analysable Component Model for Real-Time Systems
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...
Jan Carlson, John Håkansson, Paul Pettersson
TPDS
2010
135views more  TPDS 2010»
15 years 5 months ago
Maximizing Service Reliability in Distributed Computing Systems with Random Node Failures: Theory and Implementation
—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...
Jorge E. Pezoa, Sagar Dhakal, Majeed M. Hayat