On Forgetting Postulates in Answer Set Programming

Authors: Jianmin Ji, Jia-Huai You, Yisong Wang

IJCAI 2015 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Theoretical In this paper, we are interested in the question on the largest set of pairs (Π, V ), where Π is a logic program and V is a set of atoms, such that a forgetting operator exists that satisfies all the desirable properties for each (Π, V ) in . We answer this question positively by discovering the precise condition under which the knowledge forgetting, a well-established approach to forgetting in ASP, satisfies the property of strong persistence, which leads to a sufficient and necessary condition for a forgetting operator to satisfy all the desirable properties proposed in the literature. We explore computational complexities on checking the condition and present a syntactic characterization which can serve as the basis of computing knowledge forgetting in ASP.
Researcher Affiliation Academia Jianmin Ji University of Science and Technology of China, Hefei, China jianmin@ustc.edu.cn Jia-Huai You University of Alberta Edmonton, Canada you@cs.ualberta.ca Yisong Wang Guizhou University Guiyang, China csc.yswang@gzu.edu.cn
Pseudocode Yes Algorithm 1: HT-forgetting input : A formula ϕ and V A output: A result of HT-forgetting V in ϕ ϕ the normal form of ϕ; foreach p V do ϕ ϕ|p ϕ|p (ϕ{p}|p ϕ{p}|p ) ϕ|p ; ϕ the normal form of ϕ ; end return ϕ ;
Open Source Code No The paper does not provide any specific links or explicit statements about the availability of open-source code for the methodology described.
Open Datasets No The paper is theoretical and does not use or reference any datasets for training.
Dataset Splits No The paper is theoretical and does not involve dataset splits for training, validation, or testing.
Hardware Specification No The paper is theoretical and does not report on empirical experiments, therefore no hardware specifications are mentioned.
Software Dependencies No The paper presents theoretical concepts and an algorithm but does not provide specific software names with version numbers that would be needed for replication.
Experiment Setup No The paper is theoretical and does not describe any experimental setup details such as hyperparameters or system-level training settings.