Multi-agent teamwork is critical in a large number of agent applications, including training, education, virtual enterprises and collective robotics. The complex interactions of ag...
Ranjit Nair, Milind Tambe, Stacy Marsella, Taylor ...
— The need for efficient counter architecture has arisen for the following two reasons. Firstly, a number of data streaming algorithms and network management applications requir...
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
The last years have seen an increasing, albeit restricted simulation of large-scale networks on shared memory parallel platforms. As the complexity of communication protocols and ...
GRID technology, emerging in the late nineties, has evolved from a metacomputing architecture towards a pervasive computation and information utility. However, the architectural de...