Abstract: Probabilistic Logic Programming extends Logic Programming by enabling the representation of uncertain information by means of probability theory. Probabilistic Logic Programming is at the ...
🧠 Prolog & AI Logic Programming Examples This repository contains a curated collection of Prolog programs that demonstrate the power of logic programming in the domain of Artificial Intelligence (AI) ...
Inductive logic programming (ILP) studies the learning of (Prolog) logic programs and other relational knowledge from examples. Most machine learning algorithms are restricted to finite, propositional ...
This repository holds Logika examples suitable for an undergraduate formal logic introduction course (e.g., K-State's CIS 301: Logical Foundations of Programming) that discusses: ...
1 Dipartimento di Matematica e Informatica, Università di Ferrara, Ferrara, Italy 2 Dipartimento di Ingegneria, Università di Ferrara, Ferrara, Italy The field of Probabilistic Logic Programming (PLP) ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback