This paper proposes a comprehensive modeling architecture for workloads on parallel computers using Markov chains in combination with state dependent empirical distribution functi...
The general stochastic optimal control (SOC) problem in robotics scenarios is often too complex to be solved exactly and in near real time. A classical approximate solution is to ...
A major advantage in using a case-based approach to developing knowledge-based systems is that it can be applied to problems where a strong domain theory may be difficult to determ...
The vast majority of IT systems are implemented using a traditional procedural paradigm approach using a suitable procedural language such as COBOL. However, with recent developme...
A growing body of literature in networked systems research relies on game theory and mechanism design to model and address the potential lack of cooperation between self-intereste...