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Auflistung nach Schlagwort "Dead-end states"

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  • Zeitschriftenartikel
    Transfer of Domain Knowledge in Plan Generation: Learning Goal-dependent Annulling Conditions for Actions
    (KI - Künstliche Intelligenz: Vol. 28, No. 1, 2014) Siebers, Michael
    In this paper we present an approach to avoid dead-ends during automated plan generation. A first-order logic formula can be learned that holds in a state if the application of a specific action will lead to a dead-end. Starting from small problems within a problem domain examples of states where the application of the action will lead to a dead-end will be collected. The states will be generalized using inductive logic programming to a first-order logic formula. We will show how different notions of goal-dependence could be integrated in this approach. The formula learned will be used to speed-up automated plan generation. Furthermore, it provides insight into the planning domain under consideration.