"Reinforcement learning is learning what to do how to map situations to actions so as to maximize a numerical reward signal. The learner is not told which actions to take, as ...
In this paper we present an integrated view for modeling and reasoning for context applications using OWL DL. In our case study, we describe a task driven approach to model typica...
Anni-Yasmin Turhan, Thomas Springer, Michael Berge...
Abstract- This paper proposes a similarity-based approach for opponent modelling in multi-agent games. The classification accuracy is increased by adding derived attributes from i...
It is known that one of the most disastrous forms of collective human behavior is the kind of crowd stampede induced by panic. This situation often leads to fatalities as people a...
This paper introduces the Patia Autonomic webserver, which has been designed to be self-monitoring and adaptive to not only improve webserver performance but robustness in terms o...