Logic meets Learning: From Aristotle to Neural Networks

Research output: Chapter in Book/Report/Conference proceedingChapter


The tension between deduction and induction is perhaps the most fundamental issue in areas such as philosophy, cognition and artificial intelligence. In this chapter, we survey work that provides evidence for the long-standing and deep connections between logic and learning. After a brief historical prelude, our narrative is then structured in terms of three strands of interaction: logic versus learning, machine learning for logic, and logic for machine learning, but with ample overlap.
Original languageEnglish
Title of host publicationNeuro-Symbolic Artificial Intelligence - The State of the Art
EditorsPascal Hitzler, Md Kamruzzaman Sarker
Place of PublicationAmsterdam
PublisherIOS Press
Number of pages25
Publication statusAccepted/In press - 30 Jun 2021

Publication series

NameFrontiers in Artificial Intelligence and Applications
PublisherIOS Press


Dive into the research topics of 'Logic meets Learning: From Aristotle to Neural Networks'. Together they form a unique fingerprint.

Cite this