agent-oriented system. We show the complexity to be linear time for one of these logics and polynomial time for another, thus providing encouraging results with respect to the prac...
: As Grid computing is becoming an inevitable future, managing, scheduling and monitoring dynamic, heterogeneous resources will present new challenges. Solutions will have to be ag...
The organizational architecture of the multi-agent systems and the structure of social knowledge that the members of the community administer are critical factors for assuring suc...
We propose a modular reinforcement learning architecture for non-linear, nonstationary control tasks, which we call multiple model-based reinforcement learning (MMRL). The basic i...
In this thesis, I will improve the state-of-the-art for capturing, analyzing, and refining functional requirements by providing support for synthesizing, analyzing, and refining M...