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 ...

Answer Set Programming (ASP) and Logic Programming represent key paradigms in contemporary computer science, particularly in the field of artificial intelligence. ASP is a form of declarative ...

「ロジックを考えることができれば、プログラミングは外注すればいい。」 一見すると正しいように聞こえますが、実際にはそれほど単純ではありません。 裁量トレーダーが考えるロジックは多くの場合、現実では通用せず破綻することがほとんどです。

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 ...

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.

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