In this article we describe a set of scalable techniques for learning the behavior of a group of agents in a collaborative multiagent setting. As a basis we use the framework of c...
The lack of a common language and mutual understanding between the disciplines of systems development/software engineering and HCI does create challenges for both teaching and pra...
Most approaches to detection and classification of human activity deal with observing individual persons. However, people often tend to organize into groups to achieve certain goa...
Marko Jug, Janez Pers, Branko Dezman, Stanislav Ko...
Modifyingknowledge-based systems is a complexactivity. One of its di culties is that several related portions of the system might have to be changed in order to maintain the coher...
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 ...