We consider Markov decision processes (MDPs) which are a standard model for probabilistic systems.We focus on qualitative properties forMDPs that can express that desired behaviors of the system arise almost-surely (with probability 1) or with positive probability. We introduce a new simulation relation to capture the refinement relation ofMDPs with respect to qualitative properties, and present discrete graph theoretic algorithms with quadratic complexity to compute the simulation relation.We present an automated technique for assume-guarantee style reasoning for compositional analysis ofMDPs with qualitative properties by giving a counterexample guided abstraction-refinement approach to compute our new simulation relation. We have implemented our algorithms and show that the compositional analysis leads to significant improvements.
473 - 490
CAV: Computer Aided Verification
2014-07-18 – 2014-07-22
Chatterjee K, Chmelik M, Daca P. CEGAR for qualitative analysis of probabilistic systems. In: Vol 8559. Springer; 2014:473-490. doi:10.1007/978-3-319-08867-9_31
Chatterjee, K., Chmelik, M., & Daca, P. (2014). CEGAR for qualitative analysis of probabilistic systems (Vol. 8559, pp. 473–490). Presented at the CAV: Computer Aided Verification, Vienna, Austria: Springer. https://doi.org/10.1007/978-3-319-08867-9_31
Chatterjee, Krishnendu, Martin Chmelik, and Przemyslaw Daca. “CEGAR for Qualitative Analysis of Probabilistic Systems,” 8559:473–90. Springer, 2014. https://doi.org/10.1007/978-3-319-08867-9_31.
K. Chatterjee, M. Chmelik, and P. Daca, “CEGAR for qualitative analysis of probabilistic systems,” presented at the CAV: Computer Aided Verification, Vienna, Austria, 2014, vol. 8559, pp. 473–490.
Chatterjee K, Chmelik M, Daca P. 2014. CEGAR for qualitative analysis of probabilistic systems. CAV: Computer Aided Verification, LNCS, vol. 8559, 473–490.
Chatterjee, Krishnendu, et al. CEGAR for Qualitative Analysis of Probabilistic Systems. Vol. 8559, Springer, 2014, pp. 473–90, doi:10.1007/978-3-319-08867-9_31.
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