Logic is the backbone of programming, helping you make decisions, control program flow, and solve problems effectively. From Boolean algebra to control structures and logic programming, mastering ...

The way we tell computers what to do, through programming languages, has changed a ton. We’re going to take a look at the ...

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Learning Constraint Logic Programming with Prolog This repo is a record of my attempt to research and learn Prolog programming using Constraint Logic Programming (CLP). The work here was greatly ...

In this tutorial, we are walking through a hands-on fusion of symbolic logic and generative AI. We set up PySwip to embed a Prolog knowledge base, wrap its predicates as LangChain tools, and then wire ...

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 ...

Recent breakthroughs in LRMs, especially those trained using Long CoT techniques, show they can generalize impressively across different domains. Interestingly, models trained on tasks such as math or ...

Graduate students and alumni from the Department of Computer Science and Software Engineering (CSE) recently showcased their research at leading conferences, setting new standards in logic programming ...

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 ...

Abstract: This paper discusses methods and tools developed and implemented in the Actor Prolog logic programming system for analyzing biomedical signals within the project of long-term video-EEG ...