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» A Logical Framework to Deal with Variability
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JAIR
2008
157views more  JAIR 2008»
14 years 11 months ago
Qualitative System Identification from Imperfect Data
Experience in the physical sciences suggests that the only realistic means of understanding complex systems is through the use of mathematical models. Typically, this has come to ...
George Macleod Coghill, Ashwin Srinivasan, Ross D....
FSTTCS
2007
Springer
15 years 6 months ago
Closures and Modules Within Linear Logic Concurrent Constraint Programming
There are two somewhat contradictory ways of looking at modules in a given programming language. On the one hand, module systems are largely independent of the particulars of progr...
Rémy Haemmerlé, François Fage...
RC
2002
100views more  RC 2002»
14 years 11 months ago
Efficient Interval Linear Equality Solving in Constraint Logic Programming
Existing interval constraint logic programming languages, such as BNR Prolog, work under the framework of interval narrowing and are deficient in solving systems of linear constrai...
Chong-Kan Chiu, Jimmy Ho-Man Lee
FORMATS
2006
Springer
15 years 3 months ago
Integrating Discrete- and Continuous-Time Metric Temporal Logics Through Sampling
Abstract. Real-time systems usually encompass parts that are best described by a continuous-time model, such as physical processes under control, together with other components tha...
Carlo A. Furia, Matteo Rossi
AAAI
2008
15 years 2 months ago
Hybrid Markov Logic Networks
Markov logic networks (MLNs) combine first-order logic and Markov networks, allowing us to handle the complexity and uncertainty of real-world problems in a single consistent fram...
Jue Wang, Pedro Domingos