In this article, we present a novel discrete-time Markov chain model of book-ahead bandwidthsharing mechanisms. We use this analytical model and a simulation model to understand t...
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
In this paper, a Role-based Access Control (RBAC) model is applied and extended to a multimedia version called Multi-Role Based Access Control (MRBAC), which can fully support the...
Simulation of dynamic complex systems—specifically, those comprised of large numbers of components with stochastic behaviors—for the purpose of probabilistic risk assessment f...
Real-time systems operate in \real," continuous time and state changes may occur at any real-numbered time point. Yet many veri cation methods are based on the assumption that...