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Mechanising Theoretical Upper Bounds in Planning

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Mansour (Abdulaziz), Mohammad
Gretton, Charles
Norrish, Michael

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Association for the Advancement of Artificial Intelligence (AAAI)

Abstract

We examine the problem of computing upper bounds on the lengths of plans. Tractable approaches to calculating such bounds are based on a decomposition of state-variable dependency graphs (causal graphs). Our contribution follows an existing formalisation of concepts in that setting, reporting our efforts to mechanise bounding inequalities in HOL. Our primary contribution is to identify and repair an important error in the original formalisation of bounds. We also develop novel bounding results and compare them analytically with existing bounds

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Proceedings of the Twenty-Fourth International Conference on Automated Planning and Scheduling

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Open Access

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