PVM and other distributed computing systems have enabled the use of networks of workstations for parallel computation, but their approach of treating all networks as collections o...
Genetic Algorithms are very powerful search methods that are used in different optimization problems. Parallel versions of genetic algorithms are easily implemented and usually in...
coarse procedures or very abstract frames from the point of view of algorithm, because some crucial issues like the representation, evolution, storage, and learning process of conc...
Drawing inspiration from several previous projects, we present an ownership-record-free software transactional memory (STM) system that combines extremely low overhead with unusua...
Luke Dalessandro, Michael F. Spear, Michael L. Sco...
We address the learning of trust based on past observations and context information. We argue that from the truster's point of view trust is best expressed as one of several ...