Computing stable models: Worst-case performance estimates

Zbigniew Lonc, Mirosław Truszczyński

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

We study algorithms for computing stable models of logic programs and derive estimates on their worst-case performance that are asymptotically better than the trivial bound of O(m2n), where m is the size of an input program and n is the number of its atoms. For instance, for programs whose clauses consist of at most two literals (counting the head) we design an algorithm to compute stable models that works in time O(m × 1.44225 n). We present similar results for several broader classes of programs. Finally, we study the applicability of the techniques developed in the paper to the analysis of the performance of smodels.

Original languageEnglish
Pages (from-to)193-231
Number of pages39
JournalTheory and Practice of Logic Programming
Volume4
Issue number1-2
DOIs
StatePublished - 2004

Funding

FundersFunder number
U.S. Department of Energy Chinese Academy of Sciences Guangzhou Municipal Science and Technology Project Oak Ridge National Laboratory Extreme Science and Engineering Discovery Environment National Science Foundation National Energy Research Scientific Computing Center National Natural Science Foundation of China0097278

    Keywords

    • Computing stable models
    • Logic programs
    • Stable models
    • Worst-case bounds

    ASJC Scopus subject areas

    • Software
    • Theoretical Computer Science
    • Hardware and Architecture
    • Computational Theory and Mathematics
    • Artificial Intelligence

    Fingerprint

    Dive into the research topics of 'Computing stable models: Worst-case performance estimates'. Together they form a unique fingerprint.

    Cite this