{"id":"https://openalex.org/W4310174501","doi":"https://doi.org/10.1109/memocode57689.2022.9954382","title":"A Reinforcement-Learning Style Algorithm for Black Box Automata","display_name":"A Reinforcement-Learning Style Algorithm for Black Box Automata","publication_year":2022,"publication_date":"2022-10-13","ids":{"openalex":"https://openalex.org/W4310174501","doi":"https://doi.org/10.1109/memocode57689.2022.9954382"},"language":"en","primary_location":{"id":"doi:10.1109/memocode57689.2022.9954382","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memocode57689.2022.9954382","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 20th ACM-IEEE International Conference on Formal Methods and Models for System Design (MEMOCODE)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5070126489","display_name":"Itay Cohen","orcid":"https://orcid.org/0000-0002-5077-4085"},"institutions":[{"id":"https://openalex.org/I13955877","display_name":"Bar-Ilan University","ror":"https://ror.org/03kgsv495","country_code":"IL","type":"education","lineage":["https://openalex.org/I13955877"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Itay Cohen","raw_affiliation_strings":["Bar Ilan University,Department of Computer Science,Ramat Gan,Israel,52900"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bar Ilan University,Department of Computer Science,Ramat Gan,Israel,52900","institution_ids":["https://openalex.org/I13955877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064292099","display_name":"Roi Fogler","orcid":null},"institutions":[{"id":"https://openalex.org/I13955877","display_name":"Bar-Ilan University","ror":"https://ror.org/03kgsv495","country_code":"IL","type":"education","lineage":["https://openalex.org/I13955877"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Roi Fogler","raw_affiliation_strings":["Bar Ilan University,Department of Computer Science,Ramat Gan,Israel,52900"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bar Ilan University,Department of Computer Science,Ramat Gan,Israel,52900","institution_ids":["https://openalex.org/I13955877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061223044","display_name":"Doron Peled","orcid":"https://orcid.org/0000-0002-7280-6578"},"institutions":[{"id":"https://openalex.org/I13955877","display_name":"Bar-Ilan University","ror":"https://ror.org/03kgsv495","country_code":"IL","type":"education","lineage":["https://openalex.org/I13955877"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Doron Peled","raw_affiliation_strings":["Bar Ilan University,Department of Computer Science,Ramat Gan,Israel,52900"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bar Ilan University,Department of Computer Science,Ramat Gan,Israel,52900","institution_ids":["https://openalex.org/I13955877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I13955877"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11567","display_name":"semigroups and automata theory","score":0.9900000095367432,"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/T10142","display_name":"Formal Methods in Verification","score":0.9847000241279602,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/prefix","display_name":"Prefix","score":0.7697759866714478},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.694368839263916},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6474819779396057},{"id":"https://openalex.org/keywords/equivalence","display_name":"Equivalence (formal languages)","score":0.5687327980995178},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.563617467880249},{"id":"https://openalex.org/keywords/automaton","display_name":"Automaton","score":0.5297383069992065},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4921974241733551},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.47318410873413086},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4210554361343384},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40296855568885803},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21227207779884338},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.1713673174381256}],"concepts":[{"id":"https://openalex.org/C141603448","wikidata":"https://www.wikidata.org/wiki/Q134830","display_name":"Prefix","level":2,"score":0.7697759866714478},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.694368839263916},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6474819779396057},{"id":"https://openalex.org/C2780069185","wikidata":"https://www.wikidata.org/wiki/Q7977945","display_name":"Equivalence (formal languages)","level":2,"score":0.5687327980995178},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.563617467880249},{"id":"https://openalex.org/C112505250","wikidata":"https://www.wikidata.org/wiki/Q787116","display_name":"Automaton","level":2,"score":0.5297383069992065},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4921974241733551},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.47318410873413086},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4210554361343384},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40296855568885803},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21227207779884338},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.1713673174381256},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/memocode57689.2022.9954382","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memocode57689.2022.9954382","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 20th ACM-IEEE International Conference on Formal Methods and Models for System Design (MEMOCODE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W118222968","https://openalex.org/W140384553","https://openalex.org/W315890393","https://openalex.org/W1482663303","https://openalex.org/W1486103693","https://openalex.org/W1508873117","https://openalex.org/W1520252399","https://openalex.org/W1590437595","https://openalex.org/W1673310716","https://openalex.org/W1810458149","https://openalex.org/W1989445634","https://openalex.org/W2011762419","https://openalex.org/W2098039922","https://openalex.org/W2101234009","https://openalex.org/W2111875105","https://openalex.org/W2137467159","https://openalex.org/W2140606869","https://openalex.org/W2156841542","https://openalex.org/W2494400401","https://openalex.org/W2495746187","https://openalex.org/W3186768679","https://openalex.org/W4214717370","https://openalex.org/W6637131181","https://openalex.org/W6638302409","https://openalex.org/W6675354045","https://openalex.org/W6723136346","https://openalex.org/W6723261058"],"related_works":["https://openalex.org/W2142481367","https://openalex.org/W3196321793","https://openalex.org/W3080705045","https://openalex.org/W2385527937","https://openalex.org/W2005880840","https://openalex.org/W2507465767","https://openalex.org/W4385305499","https://openalex.org/W2047674875","https://openalex.org/W4245066656","https://openalex.org/W2138155336"],"abstract_inverted_index":{"The":[0,60,115],"analysis":[1],"of":[2,13,42,66,73,107,112,167,178,184],"hardware":[3],"and":[4,52,57,87,129,150,191],"software":[5],"systems":[6],"is":[7,96,143],"often":[8],"applied":[9],"to":[10,18,120,131,146],"a":[11,14,23,27,32,43,69,104],"model":[12,25],"system":[15,20,28],"rather":[16],"than":[17,158],"the":[19,37,83,110,122,133,148,153,159,163,168,175,182,188],"itself.":[21],"Obtaining":[22],"faithful":[24],"for":[26,76,93],"may":[29],"sometimes":[30],"be":[31],"complex":[33],"task.":[34],"For":[35],"learning":[36],"regular":[38,61],"(finite":[39],"automata)":[40],"structure":[41],"black":[44],"box":[45],"system,":[46],"Angluin's":[47],"<tex":[48],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[49],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$L^{*}$</tex>":[50],"algorithm":[51,186,190],"its":[53],"successors":[54],"employ":[55],"membership":[56],"equivalence":[58],"queries.":[59],"positive-negative":[62],"inference":[63],"(RPNI)":[64],"family":[65],"algorithms":[67],"use":[68],"less":[70],"powerful":[71],"capability":[72],"collecting":[74],"observations":[75],"learning,":[77,94],"with":[78,174,187],"no":[79],"control":[80],"on":[81,98],"selecting":[82],"inputs.":[84,179],"We":[85,137,180],"suggest":[86],"study":[88],"here":[89],"an":[90],"alternative":[91],"approach":[92],"which":[95],"based":[97],"calculating":[99],"utility":[100,116],"values,":[101],"obtained":[102],"as":[103],"discounted":[105],"sum":[106],"rewards,":[108],"in":[109],"style":[111],"reinforcement":[113],"learning.":[114],"values":[117],"are":[118,172],"used":[119],"classify":[121],"observed":[123],"input":[124],"prefixes":[125],"into":[126],"different":[127],"states,":[128],"then":[130],"construct":[132],"learned":[134],"automaton":[135],"structure.":[136],"show":[138,181],"cases":[139],"where":[140],"this":[141,185],"classification":[142],"not":[144],"enough":[145],"separate":[147],"prefixes,":[149],"subsequently":[151],"remedy":[152],"situation":[154],"by":[155],"exploring":[156],"deeper":[157],"current":[160,169],"prefix:":[161],"checking":[162],"consistency":[164],"between":[165,193],"descendants":[166],"prefix":[170],"that":[171],"reached":[173],"same":[176],"sequence":[177],"connection":[183],"RPNI":[189],"compare":[192],"these":[194],"two":[195],"approaches":[196],"experimentally.":[197]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}