Many system errors do not emerge unless some intricate sequence of events occurs. In practice, this means that most systems have errors that only trigger after days or weeks of ex...
Madanlal Musuvathi, David Y. W. Park, Andy Chou, D...
This paper studies the input design problem for system identification where time domain constraints have to be considered. A finite Markov chain is used to model the input of the s...
Abstract. Model checking is a fully automated technique for determining whether the behaviour of a finite-state reactive system satisfies a temporal logic specification. Despite th...
Shoham Ben-David, Richard J. Trefler, Grant E. Wed...
Distributed Partially Observable Markov Decision Problems (Distributed POMDPs) are evolving as a popular approach for modeling multiagent systems, and many different algorithms ha...
One knowledge discovery problem in the rapid response setting is the cost of learning which patterns are indicative of a threat. This typically involves a detailed follow-through,...
Peter Frazier, Warren B. Powell, Savas Dayanik, Pa...