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Titlebook: Logic for Programming, Artificial Intelligence, and Reasoning; 19th International C Ken McMillan,Aart Middeldorp,Andrei Voronkov Conference

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Dynamic and Static Symmetry Breaking in Answer Set Programming,h program one of its canonical models. The stable models of a logic program are in a certain sens the minimal Herbrand models of its . programs. On the other hand, the notion of symmetry elimination had been widely studied in constraint programming and shown to be useful to increase the efficiency o
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A Seligman-Style Tableau System,ost resolution, natural deduction, and tableau systems for hybrid logic. But there is another, less well-known approach, which we have come to believe is conceptually clearer. We call this Seligman-style inference, as it was first introduced and explored by Jerry Seligman in the setting of natural d
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Comparison of LTL to Deterministic Rabin Automata Translators,e standard approach represented by . tool employs Safra’s construction to determinize a Büchi automaton produced by some LTL to Büchi automata translator. Since 2012, three new LTL to deterministic Rabin automata translators appeared, namely Rabinizer, LTL3DRA, and Rabinizer 2. They all avoid Safra’
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Polarizing Double-Negation Translations,mplify the translations and introduce fewer negations. To achieve this, we consider the polarization of the formulæ and adapt those translation to the different connectives and quantifiers. We show that the embedding results still hold, using a customized version of the focused classical sequent cal
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Multi-objective Discounted Reward Verification in Graphs and MDPs, a generalised version of discounted reward objectives, in which the amount of discounting depends on the states visited and on the objective. This definition extends the usual definition of discounted reward, and allows to capture the systems in which the value of different commodities diminish at
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