Compiling probabilistic model checking into probabilistic planning

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Abstract

It has previously been observed that the verification of safety properties in deterministic model-checking frameworks can be compiled into classical planning. A similar connection exists between goal probability analysis on either side, yet that connection has not been explored. We fill that gap with a translation from Jani, an input language for quantitative model checkers including the Modest toolset and PRISM, into PPDDL. Our experiments motivate further cross-fertilization between both research areas, specifically the exchange of algorithms. Our study also initiates the creation of new benchmarks for goal probability analysis.

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Klauck, M., Steinmetz, M., Hoffmann, J., & Hermanns, H. (2018). Compiling probabilistic model checking into probabilistic planning. In Proceedings International Conference on Automated Planning and Scheduling, ICAPS (Vol. 2018-June, pp. 150–154). Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/icaps.v28i1.13887

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