{"id":"https://openalex.org/W2411900593","doi":"https://doi.org/10.1145/2907943","title":"Learning Weighted Assumptions for Compositional Verification of Markov Decision Processes","display_name":"Learning Weighted Assumptions for Compositional Verification of Markov Decision Processes","publication_year":2016,"publication_date":"2016-06-06","ids":{"openalex":"https://openalex.org/W2411900593","doi":"https://doi.org/10.1145/2907943","mag":"2411900593"},"language":"en","primary_location":{"id":"doi:10.1145/2907943","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2907943","pdf_url":null,"source":{"id":"https://openalex.org/S142627899","display_name":"ACM Transactions on Software Engineering and Methodology","issn_l":"1049-331X","issn":["1049-331X","1557-7392"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Software Engineering and Methodology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042735025","display_name":"Fei He","orcid":"https://orcid.org/0000-0002-4266-875X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei He","raw_affiliation_strings":["KLiss, MoE; TNList; School of Software, Tsinghua University, Beijing, China","KLiss, MoE","TNList"],"raw_orcid":"https://orcid.org/0000-0002-4266-875X","affiliations":[{"raw_affiliation_string":"KLiss, MoE; TNList; School of Software, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"KLiss, MoE","institution_ids":[]},{"raw_affiliation_string":"TNList","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089605068","display_name":"Xiaowei Gao","orcid":"https://orcid.org/0000-0003-3273-7499"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaowei Gao","raw_affiliation_strings":["KLiss, MoE; TNList; School of Software, Tsinghua University, Beijing, China","KLiss, MoE","TNList"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KLiss, MoE; TNList; School of Software, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"KLiss, MoE","institution_ids":[]},{"raw_affiliation_string":"TNList","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011563948","display_name":"Miaofei Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Miaofei Wang","raw_affiliation_strings":["KLiss, MoE; TNList; School of Software, Tsinghua University, Beijing, China","KLiss, MoE","TNList"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KLiss, MoE; TNList; School of Software, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"KLiss, MoE","institution_ids":[]},{"raw_affiliation_string":"TNList","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023111671","display_name":"Bow-Yaw Wang","orcid":"https://orcid.org/0000-0002-5757-545X"},"institutions":[{"id":"https://openalex.org/I84653119","display_name":"Academia Sinica","ror":"https://ror.org/05bxb3784","country_code":"TW","type":"facility","lineage":["https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Bow-Yaw Wang","raw_affiliation_strings":["Academia Sinica, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academia Sinica, Taiwan","institution_ids":["https://openalex.org/I84653119"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100448153","display_name":"Lijun Zhang","orcid":"https://orcid.org/0000-0002-3692-2088"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijun Zhang","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2844,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.89168644,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"25","issue":"3","first_page":"1","last_page":"39"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10142","display_name":"Formal Methods in Verification","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10142","display_name":"Formal Methods in Verification","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12423","display_name":"Software Reliability and Analysis Research","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.8504680395126343},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8260109424591064},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.754033088684082},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.7094077467918396},{"id":"https://openalex.org/keywords/binary-decision-diagram","display_name":"Binary decision diagram","score":0.6112738847732544},{"id":"https://openalex.org/keywords/completeness","display_name":"Completeness (order theory)","score":0.555561900138855},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.48597821593284607},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.47590741515159607},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.449161171913147},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.44025540351867676},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.41943663358688354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38378000259399414},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36897262930870056},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3619481921195984},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14389276504516602}],"concepts":[{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.8504680395126343},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8260109424591064},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.754033088684082},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.7094077467918396},{"id":"https://openalex.org/C3309909","wikidata":"https://www.wikidata.org/wiki/Q864155","display_name":"Binary decision diagram","level":2,"score":0.6112738847732544},{"id":"https://openalex.org/C17231256","wikidata":"https://www.wikidata.org/wiki/Q5156540","display_name":"Completeness (order theory)","level":2,"score":0.555561900138855},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.48597821593284607},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.47590741515159607},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.449161171913147},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.44025540351867676},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.41943663358688354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38378000259399414},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36897262930870056},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3619481921195984},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14389276504516602},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2907943","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2907943","pdf_url":null,"source":{"id":"https://openalex.org/S142627899","display_name":"ACM Transactions on Software Engineering and Methodology","issn_l":"1049-331X","issn":["1049-331X","1557-7392"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Software Engineering and Methodology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7699999809265137}],"awards":[{"id":"https://openalex.org/G1469846532","display_name":null,"funder_award_id":"103-2221-E-001-020-MY3","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G4849891771","display_name":null,"funder_award_id":"61272001, 91218302, 61472473, 61532019, GZ1023","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"},{"id":"https://openalex.org/F4320334994","display_name":"CAS-SAFEA International Partnership Program for Creative Research Teams","ror":"https://ror.org/055gka453"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W43147964","https://openalex.org/W91907450","https://openalex.org/W98666333","https://openalex.org/W125598877","https://openalex.org/W152258296","https://openalex.org/W1494434836","https://openalex.org/W1496256885","https://openalex.org/W1498432697","https://openalex.org/W1501747543","https://openalex.org/W1507321568","https://openalex.org/W1518363720","https://openalex.org/W1541407177","https://openalex.org/W1552686964","https://openalex.org/W1553940723","https://openalex.org/W1555229756","https://openalex.org/W1561934984","https://openalex.org/W1573881032","https://openalex.org/W1579183220","https://openalex.org/W1596186423","https://openalex.org/W1597374562","https://openalex.org/W1603620492","https://openalex.org/W1608455964","https://openalex.org/W1665588751","https://openalex.org/W1801993675","https://openalex.org/W1806449990","https://openalex.org/W1862398452","https://openalex.org/W1958500697","https://openalex.org/W1972203711","https://openalex.org/W1974680648","https://openalex.org/W1974713491","https://openalex.org/W1976035665","https://openalex.org/W1989445634","https://openalex.org/W1990609140","https://openalex.org/W1996917540","https://openalex.org/W1999787317","https://openalex.org/W2005998857","https://openalex.org/W2010450539","https://openalex.org/W2019881090","https://openalex.org/W2035098582","https://openalex.org/W2040030484","https://openalex.org/W2047217912","https://openalex.org/W2047386147","https://openalex.org/W2050570613","https://openalex.org/W2055454967","https://openalex.org/W2057873236","https://openalex.org/W2064880497","https://openalex.org/W2083808302","https://openalex.org/W2088501121","https://openalex.org/W2098039922","https://openalex.org/W2101577148","https://openalex.org/W2105172619","https://openalex.org/W2114404258","https://openalex.org/W2124231388","https://openalex.org/W2158655806","https://openalex.org/W2162943184","https://openalex.org/W2164096878","https://openalex.org/W2164202841","https://openalex.org/W2165161585","https://openalex.org/W2165539025","https://openalex.org/W2171002448","https://openalex.org/W2295428206","https://openalex.org/W2561675875","https://openalex.org/W2913788705","https://openalex.org/W2962944018","https://openalex.org/W3105078582","https://openalex.org/W4200202088","https://openalex.org/W4242441073","https://openalex.org/W4251382119","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2404647514","https://openalex.org/W1667647204","https://openalex.org/W4247536566","https://openalex.org/W2018477250","https://openalex.org/W3119814709","https://openalex.org/W4241418540","https://openalex.org/W1508895727","https://openalex.org/W187740018","https://openalex.org/W2162286586","https://openalex.org/W4255368532"],"abstract_inverted_index":{"Probabilistic":[0],"models":[1],"are":[2,53],"widely":[3],"deployed":[4],"in":[5],"various":[6],"systems.":[7,20],"To":[8],"ensure":[9],"their":[10],"correctness,":[11],"verification":[12,30],"techniques":[13],"have":[14],"been":[15],"developed":[16],"to":[17,55,82],"analyze":[18],"probabilistic":[19,33],"We":[21],"propose":[22],"the":[23],"first":[24],"sound":[25],"and":[26],"complete":[27],"learning-based":[28],"compositional":[29,93],"technique":[31],"for":[32,80,91],"safety":[34],"properties":[35],"on":[36],"concurrent":[37],"systems":[38],"where":[39],"each":[40],"component":[41],"is":[42],"an":[43,76],"Markov":[44],"decision":[45,71],"process.":[46],"Different":[47],"from":[48],"previous":[49],"works,":[50],"weighted":[51,62,84],"assumptions":[52,63],"introduced":[54],"attain":[56],"completeness":[57],"of":[58],"our":[59,92],"framework.":[60],"Since":[61],"can":[64],"be":[65],"implicitly":[66],"represented":[67],"by":[68],"multiterminal":[69],"binary":[70],"diagrams":[72],"(MTBDDs),":[73],"we":[74],"give":[75],"&gt;i&lt;L&gt;/i&lt;*-based":[77],"learning":[78],"algorithm":[79],"MTBDDs":[81],"infer":[83],"assumptions.":[85],"Experimental":[86],"results":[87],"suggest":[88],"promising":[89],"outlooks":[90],"technique.":[94]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
