Discovering faults in requirements specifications for distributed reactive systems is a challenging problem since many issues that need to be uncovered are a result of subtle compo...
We propose a method of approximate dynamic programming for Markov decision processes (MDPs) using algebraic decision diagrams (ADDs). We produce near-optimal value functions and p...
In recent years, compositional modeling and selfexplanatory simulation techniques have simplified the process of building dynamic simulators of physical systems. Building steady-s...
Due to their nature, Peer-to-Peer (P2P) systems are subject to a wide range of security issues. In this paper, we focus on a specific security property, called the root authenticit...
Sampling inequalities give a precise formulation of the fact that a differentiable function cannot attain large values, if its derivatives are bounded and if it is small on a suff...