An upper bound on computing all X-minimal models

Chen Avin, Rachel Ben-Eliyahu-Zohary

    Research output: Contribution to journalArticlepeer-review

    2 Scopus citations

    Abstract

    The problem of computing X-minimal models, that is, models minimal with respect to a subset X of all the atoms in a theory, is relevant for many tasks in Artificial Intelligence. Unfortunately, the problem is NP-hard. In this paper we present a non-trivial upper bound for the task of computing all X-minimal models: we show that all the X-minimal models of a propositional theory can be found in time time-ord-mod()+O(#DMinModX()n, where time-ord-mod() is the time it takes to find all the models of in a particular order, #DMinModX() is the number of different X-minimal models of T, and |X|=n.

    Original languageEnglish
    Pages (from-to)87-92
    Number of pages6
    JournalAI Communications
    Volume20
    Issue number2
    StatePublished - 1 Aug 2007

    Keywords

    • Analysis of algorithms
    • Minimal models
    • Model-based diagnosis
    • Nonmonotonic reasoning
    • X-minimal models

    ASJC Scopus subject areas

    • Artificial Intelligence

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