Both the logic and the stochastic analysis of discrete-state systems are hindered by the combinatorial growth of the state space underlying a high-level model. In this work, we con...
Abstract. Recently, there is an explosive development of fluid approaches to computer and distributed systems. These approaches are inherently stochastic and generate continuous st...
In the recent years particle filtering has been the dominant paradigm for tracking facial and body features, recognizing temporal events and reasoning in uncertainty. A major prob...
We present a method for transforming the infinite interactive state space of interactive POMDPs (I-POMDPs) into a finite one, thereby enabling the computation of exact solutions. ...
Abstract. When designing an open system, there might be no implementation available for certain components at verification time. For such systems, verification has to be based on a...
Abstract. State space explosion is the hardest challenge to the effective application of model checking methods. We present a new technique for achieving drastic state space reduct...
Several recent control applications consider the coordination of subsystems through local interaction. Often the interaction has a symmetry in state space, e.g. invariance with res...
State-space caching is a veri cation technique for nite-state concurrent systems. It performs an exhaustive exploration of the state space of the system being checked while storin...
Patrice Godefroid, Gerard J. Holzmann, Didier Piro...
Model Checking of Infinite Specifications Daniel Jackson School of Computer Science Carnegie Mellon University Pittsburgh, PA A new method for analyzing specifications in languages...
Stochastic modeling forms the basis for analysis in many areas, including biological and economic systems, as well as the performance and reliability modeling of computers and comm...