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 ...

プログラミングとは、「実現したいこと」を「プログラム言語の命令まで分解」し、「命令の順番」(=ロジック)を考え、記述することです。 プログラミングは、ロジックが全てと言っても過言ではなく、プログラマの腕の見せ所とも言えます。 ロジックと ...

This repository includes all the assignments and exercises for the Functional and Logic Programming course, focused on building problem-solving skills using two paradigms: functional programming with ...

Abstract: We introduce a framework for supporting learning to program in the paradigm of Answer Set Programming (ASP), which is a declarative logic programming formalism. Based on the idea of teaching ...

It is designed as a scalable solver for recursive logic constraints. Suitable but not only for test generation, symbolic execution and program synthesis.