Regression for classical and nondeterministic planning

Rintanen, Jussi

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Regression for classical and nondeterministic planning

Date

2008

Authors

Rintanen, Jussi

Abstract

Many forms of reasoning about actions and planning can be reduced to regression, the computation of the weakest precondition a state has to satisfy to guarantee the satisfaction of another condition in the successor state. In this work we formalize a general syntactic regression operation for ground PDDL operators, show its correctness, and define a composition operation based on regression. As applications we present a very simple yet powerful algorithm for computing invariants, as well as a generalization of the hn heuristic of Haslum and Geffner to PDDL.