Traditional client-server content distribution techniques usually suffer from scalability problems when dealing with large client population or sizable content. The advent of peer...
This research employs unsupervised pattern recognition to approach the thorny issue of detecting anomalous network behavior. It applies a connectionist model to identify user behav...
Workflow systems are an emerging technology which have become increasingly important in the drive for business to provide better services and increase productivity. Intuitively, w...
We propose an algorithm for the hierarchical aggregation of observations in dissemination-based, distributed traffic information systems. Instead of transmitting observed paramete...
Abstract. One of the main questions concerning learning in a Multi-Agent System's environment is: "(How) can agents benefit from mutual interaction during the learning pr...