World Scientific Publishing

A Blueprint for a Thinking Machine That Works on Human Logic

What if a machine could think not just faster than a human, but more like one? In the newly released Second Edition of ...
Nature

Inductive Logic Programming and Machine Learning

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 ...
mccormick.northwestern.edu

Examining the Intersection of Machine Learning and Mathematical Logic

The intersection of machine learning and mathematical logic — spanning computer science, pure mathematics, and statistics — has catalyzed recent advances in artificial intelligence and deep learning ...
insider.si.edu

Logic Machine, Compulogical Tutor

IIIF provides researchers rich metadata and media viewing options for comparison of works across cultural heritage collections. Visit the IIIF page to learn more. The Compulogical Tutor was a simple ...
mccormick.northwestern.edu

Exploring the Connections Among Machine Learning, Interpretability, and Logic

The field of interpretability investigates what machine learning (ML) models are learning from training datasets, the causes and effects of changes within a model, and the justifications behind its ...
Purdue University

In Print: ‘Fuzzy Logic: Applications in Artificial Intelligence, Big Data, and Machine Learning’

This hands-on guide offers clear explanations of fuzzy logic along with practical applications and real-world examples. Written by an award-winning engineer, “Fuzzy Logic: Applications in Artificial ...
Time

Fuzzy Logic

This article is published by AllBusiness.com, a partner of TIME. Fuzzy logic is a form of logic that extends traditional boolean logic by allowing for degrees of truth, rather than just true or false.