Inductive logic programming (ILP) and machine learning together represent a powerful synthesis of symbolic reasoning and statistical inference. ILP focuses on deriving interpretable logic rules from ...

Automation has become a crucial component in modern industries, streamlining processes and increasing efficiency. One of the fundamental programming methods for controlling automated systems is ladder ...

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Mechanistically interpretable neurosymbolic AI (Nature Comput Sci 2024): losslessly compressing NNs to computer code and discovering new algorithms which generalize out-of-distribution and outperform ...

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The company's Hardshell Fanless Technology combines fanless cooling, ingress protection and ruggedization, including vibration resistance, with an aim to ensure reliability in challenging environments ...

ABSTRACT: Model Driven Engineering (MDE) is a model-centric software development approach aims at improving the quality and productivity of software development processes. While some progresses in MDE ...

ABSTRACT: A method is presented for incrementally computing success patterns of logic programs. The set of success patterns of a logic program with respect to an abstraction is formulated as the ...

Abstract: Concept learning is the induction of a description from a set of examples. Inductive logic programming can be considered a special case of the general notion of concept learning specifically ...