Forgetting in logic programs under strong equivalence

Yisong Wang, Yan Zhang, Yi Zhou, Mingyi Zhang

    Research output: Chapter in Book / Conference PaperConference Paperpeer-review

    18 Citations (Scopus)

    Abstract

    In this paper, we propose a semantic forgetting for arbitrary logic programs (or propositional theories) under answer set semantics, called HT-forgetting. The HTforgetting preserves strong equivalence in the sense that strongly equivalent logic programs will remain strongly equivalent after forgetting the same set of atoms. The result of an HT-forgetting is always expressible by a logic program, and in particular, the result of an HT-forgetting in a Horn program is expressible in a Horn program; and a representation theorem shows that HT-forgetting can be precisely characterized by Zhang-Zhou's four forgetting postulates under the logic of here-and-there. We also reveal underlying connections between HTforgetting and classical forgetting, and provide complexity results for decision problems.
    Original languageEnglish
    Title of host publicationProceedings of the 13th International Conference on Principles of Knowledge Representation and Reasoning, June 10-14, 2012, Rome, Italy
    PublisherAAAI Press
    Pages643-647
    Number of pages5
    ISBN (Print)9781577355601
    Publication statusPublished - 2012
    EventInternational Conference on Principles of Knowledge Representation and Reasoning -
    Duration: 10 Jun 2012 → …

    Conference

    ConferenceInternational Conference on Principles of Knowledge Representation and Reasoning
    Period10/06/12 → …

    Keywords

    • artificial intelligence
    • knowledge representation (information theory)
    • logic programming
    • reasoning

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