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Titlebook: Logics in Artificial Intelligence; 16th European Confer Francesco Calimeri,Nicola Leone,Marco Manna Conference proceedings 2019 Springer Na

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Typed Meta-interpretive Learning of Logic Programsthat adding types to MIL can improve learning performance. We show that type checking can reduce the MIL hypothesis space by a cubic factor. We introduce two typed MIL systems: Metagol. and HEXMIL., implemented in Prolog and Answer Set Programming (ASP), respectively. Both systems support polymorphi
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Explaining Actual Causation in Terms of Possible Causal Processeschanisms in the domain and the causal processes that result from them. Another is knowledge of what conditions trigger such mechanisms and what conditions can make them fail..We argue that to solve questions of actual causation, such knowledge needs to be made explicit. To this end, we develop a new
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Advancements in Resource-Driven Substructural Defeasible Logicg with exceptions. We propose a framework to combine sub-structural features, corresponding to the consumption of resources, with defeasibility aspects to handle potentially conflicting information, and we discuss the design choices.
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978-3-030-19569-4Springer Nature Switzerland AG 2019
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Logics in Artificial Intelligence978-3-030-19570-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Advancements in Resource-Driven Substructural Defeasible Logicg with exceptions. We propose a framework to combine sub-structural features, corresponding to the consumption of resources, with defeasibility aspects to handle potentially conflicting information, and we discuss the design choices.
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