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Combining macros and SAT planning

Vallati, Mauro (2010) Combining macros and SAT planning. In: Doctoral Consortium of the 11th Italian Association of Artificial Intelligence, 1st - 3rd December 2010, Brescia, Italy.

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    Planning based on propositional satisfiability is a powerful approach for computing makespan-optimal plans. However, it is usually slower then heuristic-based sub-optimal approaches. In this work we propose MacroSatPlan; a SatPlan based planner which exploits macros extracted by Macro-FF and uses a predictive model of the optimal solution length that is constructed by WEKA, a commonly used toolkit of machine learning algorithms.

    Item Type: Conference or Workshop Item (Paper)
    Subjects: Q Science > Q Science (General)
    Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Q Science > QA Mathematics > QA76 Computer software
    Schools: School of Computing and Engineering > Informatics Research Group > Knowledge Engineering and Intelligent Interfaces
    School of Computing and Engineering
    Depositing User: Mauro Vallati
    Date Deposited: 24 Oct 2012 16:39
    Last Modified: 24 Oct 2012 16:39

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