Model checking hierarchical probabilistic systems
Probabilistic modeling is important for random distributed algorithms, bio-systems or decision processes. Probabilistic model checking is a systematic way of analyzing finite-state probabilistic models. Existing probabilistic model checkers have been designed for simple systems without hierarchy. In...
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Main Authors: | SUN, Jun, SONG, Songzheng, LIU, Yang |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2010
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Online Access: | https://ink.library.smu.edu.sg/sis_research/5035 https://ink.library.smu.edu.sg/context/sis_research/article/6038/viewcontent/model.pdf |
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Institution: | Singapore Management University |
Language: | English |
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