{"id":"https://openalex.org/W4409979398","doi":"https://doi.org/10.1007/978-3-031-90900-9_6","title":"Compositional Learning for Synchronous Parallel Automata","display_name":"Compositional Learning for Synchronous Parallel Automata","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4409979398","doi":"https://doi.org/10.1007/978-3-031-90900-9_6"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-90900-9_6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-90900-9_6","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-90900-9_6.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-90900-9_6.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017073534","display_name":"Mahboubeh Samadi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210109871","display_name":"Khatam University","ror":"https://ror.org/016tr2g85","country_code":"IR","type":"education","lineage":["https://openalex.org/I4210109871"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Mahboubeh Samadi","raw_affiliation_strings":["Tehran Institute for Advanced Studies, Khatam University, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Tehran Institute for Advanced Studies, Khatam University, Tehran, Iran","institution_ids":["https://openalex.org/I4210109871"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5117393226","display_name":"Aryan Bastany","orcid":null},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Aryan Bastany","raw_affiliation_strings":["University of Tehran, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"University of Tehran, Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014085893","display_name":"Hossein Hojjat","orcid":"https://orcid.org/0000-0002-4743-8750"},"institutions":[{"id":"https://openalex.org/I4210109871","display_name":"Khatam University","ror":"https://ror.org/016tr2g85","country_code":"IR","type":"education","lineage":["https://openalex.org/I4210109871"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Hossein Hojjat","raw_affiliation_strings":["Tehran Institute for Advanced Studies, Khatam University, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Tehran Institute for Advanced Studies, Khatam University, Tehran, Iran","institution_ids":["https://openalex.org/I4210109871"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5017073534"],"corresponding_institution_ids":["https://openalex.org/I4210109871"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":4.943,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.92826269,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"101","last_page":"121"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9879000186920166,"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/T12288","display_name":"Optimization and Search Problems","score":0.9857000112533569,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/computer-science","display_name":"Computer science","score":0.8786294460296631},{"id":"https://openalex.org/keywords/automaton","display_name":"Automaton","score":0.6834691762924194},{"id":"https://openalex.org/keywords/learning-automata","display_name":"Learning automata","score":0.5145673155784607},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.485689252614975},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.37232398986816406}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8786294460296631},{"id":"https://openalex.org/C112505250","wikidata":"https://www.wikidata.org/wiki/Q787116","display_name":"Automaton","level":2,"score":0.6834691762924194},{"id":"https://openalex.org/C2776807809","wikidata":"https://www.wikidata.org/wiki/Q6510160","display_name":"Learning automata","level":3,"score":0.5145673155784607},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.485689252614975},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37232398986816406}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-031-90900-9_6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-90900-9_6","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-90900-9_6.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-031-90900-9_6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-90900-9_6","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-90900-9_6.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409979398.pdf","grobid_xml":"https://content.openalex.org/works/W4409979398.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W116345983","https://openalex.org/W290481602","https://openalex.org/W1840142437","https://openalex.org/W1938383858","https://openalex.org/W1972505764","https://openalex.org/W1989445634","https://openalex.org/W2029671009","https://openalex.org/W2075773711","https://openalex.org/W2137837392","https://openalex.org/W2140606869","https://openalex.org/W2161123813","https://openalex.org/W2166186692","https://openalex.org/W2213779776","https://openalex.org/W2242703451","https://openalex.org/W2500265108","https://openalex.org/W2500302530","https://openalex.org/W2535981059","https://openalex.org/W2546791512","https://openalex.org/W2583228413","https://openalex.org/W2612235309","https://openalex.org/W2735911163","https://openalex.org/W2922999721","https://openalex.org/W3090321239","https://openalex.org/W3099647739","https://openalex.org/W3142037944","https://openalex.org/W4211008702","https://openalex.org/W4247758073","https://openalex.org/W4293280203","https://openalex.org/W4366453258","https://openalex.org/W4366504204","https://openalex.org/W6910510929"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2124961391","https://openalex.org/W2489338148","https://openalex.org/W576785828","https://openalex.org/W2791930872","https://openalex.org/W4401162386","https://openalex.org/W4388511637","https://openalex.org/W2733919410","https://openalex.org/W2124122503","https://openalex.org/W4405083614"],"abstract_inverted_index":{"Abstract":[0],"Automata":[1],"learning":[2,40,67,79],"is":[3,69],"an":[4,14],"approach":[5,21],"for":[6,42],"extracting":[7],"a":[8,17,37,97],"model":[9],"in":[10,27],"the":[11,55,63,74,80,85,92,103,112,115,123,134],"shape":[12],"of":[13,57,99,114],"automaton":[15],"from":[16,102],"black-box":[18],"system.":[19],"This":[20],"has":[22],"recently":[23],"gained":[24],"much":[25],"attention":[26],"both":[28],"industry":[29],"and":[30,62,71,89,107,130],"academia.":[31],"In":[32],"this":[33],"paper,":[34],"we":[35],"introduce":[36],"compositional":[38],"automata":[39],"algorithm":[41,49,87,124],"systems":[43],"comprising":[44],"synchronous":[45],"parallel":[46],"components.":[47,81,94],"Our":[48],"assumes":[50],"no":[51],"prior":[52],"knowledge":[53],"about":[54],"number":[56,98],"components,":[58],"their":[59],"individual":[60,93],"alphabets,":[61],"synchronizing":[64],"alphabets.":[65],"The":[66,118],"process":[68],"automatic":[70],"figures":[72],"out":[73],"alphabet":[75],"symbols":[76,129],"on-the-fly":[77],"during":[78],"We":[82,95],"prove":[83],"that":[84,122],"proposed":[86,116],"terminates":[88],"correctly":[90],"learns":[91],"use":[96],"case":[100],"studies":[101],"industrial":[104],"automotive":[105],"domain":[106],"synthetic":[108],"benchmarks":[109],"to":[110,132],"evaluate":[111],"performance":[113],"algorithm.":[117],"experimental":[119],"results":[120],"show":[121],"requires":[125],"significantly":[126],"fewer":[127],"input":[128],"resets":[131],"learn":[133],"system":[135],"compositionally.":[136]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}