Titlebook: Inductive Logic Programming; 29th International C Dimitar Kazakov,Can Erten Conference proceedings 2020 Springer Nature Switzerland AG 2020

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Hien D. Nguyen,Chiaki Sakama across abstraction layers. A classification of dependencies in combination with fault trees is used to perform a model-based dependency analysis. In addition, a novel modeling technique for integrating failure propagation aspects resulting from shared services and resources is presented. The analys

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Tatiana Sciammarella,Gerson Zaveruchaack surface it may introduce. For this paper, the basic taxonomy of dependable and secure computing is used to conduct a dependability analysis of the AFDX frame management design. An OMNeT++ model simulation of an AFDX network is used to demonstrate potential attacks. Considerations for solutions f

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Stefanie Speichert,Vaishak Belleack surface it may introduce. For this paper, the basic taxonomy of dependable and secure computing is used to conduct a dependability analysis of the AFDX frame management design. An OMNeT++ model simulation of an AFDX network is used to demonstrate potential attacks. Considerations for solutions f

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,CONNER: A Concurrent ILP Learner in?Description Logic,lexity. The class of ML known as Inductive Logic Programming (ILP) draws on the expressivity and rigour of subsets of First Order Logic to represent both data and models. When Description Logics (DL) are used, the approach can be applied directly to knowledge represented as ontologies. ILP output is

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Towards Meta-interpretive Learning of Programming Language Semantics,t paper, we explore a simplified task in this domain using the Metagol meta-interpretive learning system. We highlight the challenging aspects of this scenario, including abstracting over function symbols, nonterminating examples, and learning non-observed predicates, and propose extensions to Metag