More and more effort is made to provide methodologies for the development of agent–based systems. Awareness has grown that these are necessary to develop high quality agent syst...
Jan Sudeikat, Lars Braubach, Alexander Pokahr, Win...
Distributed Partially Observable Markov Decision Problems (POMDPs) are emerging as a popular approach for modeling multiagent teamwork where a group of agents work together to joi...
: Several solutions have been developed to provide dataintensive applications with the highest possible data rates. Such solutions tried to utilize the available network resources ...
In main-memory databases, the number of processor cache misses has a critical impact on the performance of the system. Cacheconscious indices are designed to improve performance b...
K-means algorithm is one of the most famous unsupervised clustering algorithms. Many theoretical improvements for the performance of original algorithms have been put forward, whi...