{"day":"06","page":"33","publisher":"IST Austria","status":"public","year":"2014","file_date_updated":"2020-07-14T12:46:47Z","oa":1,"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_published":"2014-02-06T00:00:00Z","ddc":["000"],"department":[{"_id":"KrCh"}],"date_created":"2018-12-12T11:39:11Z","month":"02","citation":{"ama":"Chatterjee K, Daca P, Chmelik M. <i>CEGAR for Qualitative Analysis of Probabilistic Systems</i>. IST Austria; 2014. doi:<a href=\"https://doi.org/10.15479/AT:IST-2014-153-v2-2\">10.15479/AT:IST-2014-153-v2-2</a>","mla":"Chatterjee, Krishnendu, et al. <i>CEGAR for Qualitative Analysis of Probabilistic Systems</i>. IST Austria, 2014, doi:<a href=\"https://doi.org/10.15479/AT:IST-2014-153-v2-2\">10.15479/AT:IST-2014-153-v2-2</a>.","short":"K. Chatterjee, P. Daca, M. Chmelik, CEGAR for Qualitative Analysis of Probabilistic Systems, IST Austria, 2014.","ieee":"K. Chatterjee, P. Daca, and M. Chmelik, <i>CEGAR for qualitative analysis of probabilistic systems</i>. IST Austria, 2014.","ista":"Chatterjee K, Daca P, Chmelik M. 2014. CEGAR for qualitative analysis of probabilistic systems, IST Austria, 33p.","chicago":"Chatterjee, Krishnendu, Przemyslaw Daca, and Martin Chmelik. <i>CEGAR for Qualitative Analysis of Probabilistic Systems</i>. IST Austria, 2014. <a href=\"https://doi.org/10.15479/AT:IST-2014-153-v2-2\">https://doi.org/10.15479/AT:IST-2014-153-v2-2</a>.","apa":"Chatterjee, K., Daca, P., &#38; Chmelik, M. (2014). <i>CEGAR for qualitative analysis of probabilistic systems</i>. IST Austria. <a href=\"https://doi.org/10.15479/AT:IST-2014-153-v2-2\">https://doi.org/10.15479/AT:IST-2014-153-v2-2</a>"},"related_material":{"record":[{"relation":"later_version","id":"2063","status":"public"},{"relation":"earlier_version","status":"public","id":"5412"},{"relation":"later_version","status":"public","id":"5414"}]},"alternative_title":["IST Austria Technical Report"],"title":"CEGAR for qualitative analysis of probabilistic systems","doi":"10.15479/AT:IST-2014-153-v2-2","author":[{"last_name":"Chatterjee","id":"2E5DCA20-F248-11E8-B48F-1D18A9856A87","full_name":"Chatterjee, Krishnendu","first_name":"Krishnendu","orcid":"0000-0002-4561-241X"},{"first_name":"Przemyslaw","full_name":"Daca, Przemyslaw","id":"49351290-F248-11E8-B48F-1D18A9856A87","last_name":"Daca"},{"last_name":"Chmelik","id":"3624234E-F248-11E8-B48F-1D18A9856A87","full_name":"Chmelik, Martin","first_name":"Martin"}],"_id":"5413","oa_version":"Published Version","abstract":[{"lang":"eng","text":"We consider Markov decision processes (MDPs) which are a standard model for probabilistic systems. We focus on qualitative properties for MDPs that can express that desired behaviors of the system arise almost-surely (with probability 1) or with positive probability.\r\nWe introduce a new simulation relation to capture the refinement relation of MDPs with respect to qualitative properties, and present discrete graph theoretic algorithms with quadratic complexity to compute the simulation relation.\r\nWe present an automated technique for assume-guarantee style reasoning for compositional analysis of MDPs with qualitative properties by giving a counter-example 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. "}],"publication_status":"published","has_accepted_license":"1","type":"technical_report","date_updated":"2023-02-23T12:25:18Z","language":[{"iso":"eng"}],"pubrep_id":"164","publication_identifier":{"issn":["2664-1690"]},"file":[{"file_size":606049,"content_type":"application/pdf","creator":"system","file_id":"5539","date_updated":"2020-07-14T12:46:47Z","date_created":"2018-12-12T11:54:17Z","checksum":"ce4967a184d84863eec76c66cbac1614","access_level":"open_access","file_name":"IST-2014-153-v2+2_main.pdf","relation":"main_file"}]}