AINov 11, 2021

Answer Set Programming Made Easy

arXiv:2111.06366v22 citations
AI Analysis

This work aims to make ASP more accessible for beginners, though it appears incremental as it builds on existing folklore ideas.

The paper tackles the complexity of Answer Set Programming by proposing a simplified rule format and modeling methodology, showing that choices and integrity constraints are sufficient for ASP.

We take up an idea from the folklore of Answer Set Programming, namely that choices, integrity constraints along with a restricted rule format is sufficient for Answer Set Programming. We elaborate upon the foundations of this idea in the context of the logic of Here-and-There and show how it can be derived from the logical principle of extension by definition. We then provide an austere form of logic programs that may serve as a normalform for logic programs similar to conjunctive normalform in classical logic. Finally, we take the key ideas and propose a modeling methodology for ASP beginners and illustrate how it can be used.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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