Answer Set Programming

Researchers propose a logic-guided data extraction framework combining Large Language Models (LLMs) with Answer Set Programming (ASP) to improve reliability for tasks requiring complex combinatorial r…

Researchers propose a fuzzy-logic extension of Answer Set Programming (ASP) to bridge numerical data and qualitative reasoning, using learning-based membership functions and semantically enriched pred…