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Titlebook: Logic-Based Program Synthesis and Transformation; 22nd International S Elvira Albert Conference proceedings 2013 Springer-Verlag Berlin Hei

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Proving Properties of Co-logic Programs with Negation by Program Transformations,ogic programs, thereby allowing us to reason about infinite sequences of events such as behavior of reactive systems. The main problem with this approach is that only definite co-logic programs are considered, thus representing a rather narrow class of co-logic programs. In this paper we consider ”n
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,Program Analysis and Manipulation to Reproduce Learners’ Erroneous Reasoning,eous procedure they are following, and use the result of such deep cognitive diagnoses to repair its incorrect parts. We report a method for the automatic reconstruction of such erroneous procedures based on learner input and the analysis and manipulation of logic programs. The method relies on an i
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Céline Dandois,Wim Vanhoofprobabilistic models. The main contribution of these probabilistic model—building EAs resides in the fact that by learning a probabilistic model from selected solutions and subsequently drawing new solutions from the probability distribution represented by the probabilistic model, an inductive tool
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