Answer Set Programming

Answer Set Programming (ASP) is a declarative programming paradigm used to solve complex combinatorial problems by finding "answer sets" – models that satisfy a given logic program. Current research focuses on extending ASP's capabilities, including handling probabilistic information, integrating with large language models for improved code generation and natural language reasoning, and developing efficient algorithms for optimization and explanation generation. These advancements are enhancing ASP's applicability in diverse fields like AI planning, traffic optimization, and explainable AI, driving improvements in both theoretical understanding and practical problem-solving.