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

    ![CDATA[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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