Axiomatization of Aggregates in Answer Set Programming

Authors

  • Jorge Fandinno University of Nebraska at Omaha
  • Zachary Hansen University of Nebraska Omaha
  • Yuliya Lierler University of Nebraska Omaha

DOI:

https://doi.org/10.1609/aaai.v36i5.20504

Keywords:

Knowledge Representation And Reasoning (KRR)

Abstract

The paper presents a characterization of logic programs with aggregates based on many-sorted generalization of operator SM that refers neither to grounding nor to fixpoints. This characterization introduces new symbols for aggregate operations and aggregate elements, whose meaning is fixed by adding appropriate axioms to the result of the SM transformation. We prove that for programs without positive recursion through aggregates our semantics coincides with the semantics of the answer set solver Clingo.

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Published

2022-06-28

How to Cite

Fandinno, J., Hansen, Z., & Lierler, Y. (2022). Axiomatization of Aggregates in Answer Set Programming. Proceedings of the AAAI Conference on Artificial Intelligence, 36(5), 5634-5641. https://doi.org/10.1609/aaai.v36i5.20504

Issue

Section

AAAI Technical Track on Knowledge Representation and Reasoning