David Lorenzo

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We focus on learning representations of dynamical systems that can be characterized by logic-based formalisms for reasoning about actions and change, where system's behaviors are naturally viewed as appropriate logical consequences of the domain's description. To this end, logic-based induction methods are adapted to identify the input/output behavior of a(More)
In this work we further investigate the relation, first found by Truszczy´nski, between modal logic S4F and Default Logic (DL), analyzing some interesting properties and showing its application to other general non-monotonic formalisms. For comparison purposes, we start defining a subset of S4F we called Intuitionistic Default Logic (IDL), which consists in(More)