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» Logical and Stochastic Modeling with SMART
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ILP
2000
Springer
15 years 1 months ago
Bayesian Logic Programs
First-order probabilistic models are recognized as efficient frameworks to represent several realworld problems: they combine the expressive power of first-order logic, which serv...
Kristian Kersting, Luc De Raedt
ENTCS
2007
104views more  ENTCS 2007»
14 years 9 months ago
Exogenous Probabilistic Computation Tree Logic
We define a logic EpCTL for reasoning about the evolution of probabilistic systems. System states correspond to probability distributions over classical states and the system evo...
Pedro Baltazar, Paulo Mateus, Rajagopal Nagarajan,...
PAPM
2001
Springer
126views Mathematics» more  PAPM 2001»
15 years 2 months ago
Beyond Memoryless Distributions: Model Checking Semi-Markov Chains
Abstract. Recent investigations have shown that the automated verification of continuous-time Markov chains (CTMCs) against CSL (Continuous Stochastic Logic) can be performed in a...
Gabriel G. Infante López, Holger Hermanns, ...
80
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JMLR
2010
111views more  JMLR 2010»
14 years 4 months ago
An EM Algorithm on BDDs with Order Encoding for Logic-based Probabilistic Models
Logic-based probabilistic models (LBPMs) enable us to handle problems with uncertainty succinctly thanks to the expressive power of logic. However, most of LBPMs have restrictions...
Masakazu Ishihata, Yoshitaka Kameya, Taisuke Sato,...
DSN
2004
IEEE
15 years 1 months ago
Model Checking Action- and State-Labelled Markov Chains
In this paper we introduce the logic asCSL, an extension of continuous stochastic logic (CSL), which provides powerful means to characterise execution paths of action- and state-l...
Christel Baier, Lucia Cloth, Boudewijn R. Haverkor...