In this paper, we focus on the problem of existence of and computing small and large stable models. We show that for every xed integer k, there is a linear-time algorithm to decid...
Abstract. We address model checking problem for combination of Computation Tree Logic (CTL) and Propositional Logic of Knowledge (PLK) in finite systems with the perfect recall syn...
Nowadays, data mining is based on low-level speci cations of the employed techniques typically bounded to a speci c analysis platform. Therefore, data mining lacks a modelling arc...
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
—Conventional testing methods often fail to detect hidden flaws in complex embedded software such as device drivers or file systems. This deficiency incurs significant developmen...