mlsanityData to 7 Oct 2026

Forgetting in Answer Set Programming -- A Survey

arXiv 2107.07016 ↗First posted 14 Jul 2021cs.AI cs.LOcited by 5

Not on the map. Why?

Abstract (arXiv)

Forgetting - or variable elimination - is an operation that allows the removal, from a knowledge base, of middle variables no longer deemed relevant. In recent years, many different approaches for forgetting in Answer Set Programming have been proposed, in the form of specific operators, or classes of such operators, commonly following different principles and obeying different properties. Each such approach was developed to address some particular view on forgetting, aimed at obeying a specific set of properties deemed desirable in such view, but a comprehensive and uniform overview of all the existing operators and properties is missing. In this paper, we thoroughly examine existing properties and (classes of) operators for forgetting in Answer Set Programming, drawing a complete picture of the landscape of these classes of forgetting operators, which includes many novel results on relations between properties and operators, including considerations on concrete operators to compute results of forgetting and computational complexity. Our goal is to provide guidance to help users in choosing the operator most adequate for their application requirements.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 6 of its 104 references that are in the map. First posted on arXiv 14 Jul 2021.

Builds on

6 of 104 references.

References · 6

  1. 2014Modularity Aspects of Disjunctive Stable Modelscited by 8
  2. 2020Omission-based Abstraction for Answer Set Programscited by 7
  3. 2019A Syntactic Operator for Forgetting that Satisfies Strong Persistencecited by 4
  4. 2017When You Must Forget: beyond strong persistence when forgetting in answer set programmingcited by 3
  5. 2014Interpolable Formulas in Equilibrium Logic and Answer Set Programmingcited by 2
  6. 2014The Logical Difference for the Lightweight Description Logic ELcited by 2

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Cited by year

Citing papers per year: 2022: 1; 2023: 2; 2024: 1; 2025: 1.

5 papers.