Computer programming of complex systems is a time consuming effort. Results are often brittle and inflexible. Evolving, self-learning flexible multi-agent systems remain a distant ...
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
— Access control in computational grids is typically provided by a combination of identity certificates and local accounts. This approach does not scale as the number of users a...
Tatyana Ryutov, Li Zhou, B. Clifford Neuman, Noria...
Active structures capable of responding to external stimulii represent the emerging frontier in structural design. Robust and real-time sensing, control, and actuation pose fundame...
Parallel I/O needs to keep pace with the demand of high performance computing applications on systems with ever-increasing speed. Exploiting high-end interconnect technologies to ...