A plausible representation of relational information among entities in dynamic systems such as a living cell or a social community is a stochastic network which is topologically r...
Imitation is actively being studied as an effective means of learning in multi-agent environments. It allows an agent to learn how to act well (perhaps optimally) by passively obs...
We introduce a new EM framework in which it is possible not only to optimize the model parameters but also the number of model components. A key feature of our approach is that we...
The field of pervasive computing has seen a lot of exciting innovations in the past few years. However, there are currently no mechanisms for describing the properties and capabil...
In this paper we propose a model to predict the performance of synchronous discrete event simulation. The model considers parameters including the number of active objects per cyc...