arrow
Return

Forgetting in Answer Set Programming – A Survey

delete2021-12-27
delete0
delete
OA
AI
DOI:10.1017/s1471068421000570delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
AbstractForgetting – or variable elimination – is an operation that allows the removal, from a knowledge base, ofmiddlevariables 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 article, 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.

Journal

No journal information available

Organization

No organization information available
Cited Papers

Cited Papers

No cited papers available