Computing higher order exclusion relations in propositional planning (original) (raw)

Journal of Experimental and Theoretical Artificial Intelligence, 2012

Abstract

This article presents a systematic and complete algorithm to compute all higher order exclusion relations for a propositional planning problem, that is, sets of propositions that cannot hold simultaneously at specific time points, without any bound on the order of the exclusion relations. This algorithm is proved to allow for backtrack-free plan extraction, provided that all goals have to be achieved simultaneously. In particular, levelled global consistency is achieved, i.e. all exclusion relations between propositions within each time step are computed. However, achieving levelled global consistency is impractical for most non-trivial planning problems. Indeed, as our empirical evaluation over a variety of planning problems suggests, best performance is achieved when setting a bound on the order of the computed exclusion relations and using search to extract a plan. Additional statistics extracted from our experiments shed light on the internal dynamics of Graphplan-style planners.

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