ABSTRACT: This paper introduces a methodology that enables the relational learning framework to incorporate quantitative data derived from experimental studies in microbial ecology. The focus of using ...

Google has introduced Mangle, a new open-source programming language that extends the classic logic-based language Datalog for modern deductive database programming. Implemented as a Go library, ...

Artificial intelligence (AI) techniques such as machine learning (ML) and particularly deep learning (DL) tools such as large language models (LLMs) (Zhao et al., 2023) have been increasingly used to ...

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 ...

Logic is “the art of thinking and reasoning in strict accordance with the limitations and incapacities of human misunderstanding,” according to the American satirist, Ambrose Bierce in his The Devil’s ...

Cyber attacking is easier than cyber defending—attackers only need to find one breach, while the defenders must successfully repel all attacks. This research demonstrates how cyber defenders can ...

For decades now, Programmable Logic Controllers, or PLCs, have been the workhorses of industrial automation. However, as factories become smarter and more interconnected, the traditional strengths of ...

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 ...