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» Dealing with logical omniscience
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QEST
2008
IEEE
14 years 2 months ago
Approximate Analysis of Probabilistic Processes: Logic, Simulation and Games
We tackle the problem of non robustness of simulation and bisimulation when dealing with probabilistic processes. It is important to ignore tiny deviations in probabilities becaus...
Josée Desharnais, François Laviolett...
IJCNN
2006
IEEE
14 years 1 months ago
An Interval Type-II Robust Fuzzy Logic Controller for a Static Compensator in a Multimachine Power System
—This paper presents a novel fuzzy logic based controller for a Static Compensator (STATCOM) connected to a power system. Type-II fuzzy systems are selected that enable the contr...
Salman Mohagheghi, Ganesh K. Venayagamoorthy, Rona...
AISC
2008
Springer
13 years 9 months ago
Mechanising a Proof of Craig's Interpolation Theorem for Intuitionistic Logic in Nominal Isabelle
Craig's Interpolation Theorem is an important meta-theoretical result for several logics. Here we describe a formalisation of the result for first-order intuitionistic logic w...
Peter Chapman, James McKinna, Christian Urban
DLOG
2006
13 years 9 months ago
Handling Imprecise Knowledge with Fuzzy Description Logic
Fuzzy Description Logics have been proposed in the literature as a way to represent and reason with vague and imprecise knowledge. Their decidability, the empirically tractable an...
Giorgos Stoilos, Giorgos B. Stamou, Jeff Z. Pan
JAIR
2006
138views more  JAIR 2006»
13 years 7 months ago
Logical Hidden Markov Models
Logical hidden Markov models (LOHMMs) upgrade traditional hidden Markov models to deal with sequences of structured symbols in the form of logical atoms, rather than flat characte...
Kristian Kersting, Luc De Raedt, Tapani Raiko