{"id":"https://openalex.org/W3007715641","doi":"https://doi.org/10.1007/s10458-020-09449-8","title":"Two approximation algorithms for probabilistic coalition structure generation with quality bound","display_name":"Two approximation algorithms for probabilistic coalition structure generation with quality bound","publication_year":2020,"publication_date":"2020-02-18","ids":{"openalex":"https://openalex.org/W3007715641","doi":"https://doi.org/10.1007/s10458-020-09449-8","mag":"3007715641"},"language":"en","primary_location":{"id":"doi:10.1007/s10458-020-09449-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10458-020-09449-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10458-020-09449-8.pdf","source":{"id":"https://openalex.org/S5405189","display_name":"Autonomous Agents and Multi-Agent Systems","issn_l":"1387-2532","issn":["1387-2532","1573-7454"],"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Autonomous Agents and Multi-Agent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10458-020-09449-8.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037650781","display_name":"Kouki Matsumura","orcid":"https://orcid.org/0000-0002-7305-0194"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kouki Matsumura","raw_affiliation_strings":["Graduate School of Information Science and Technology, Osaka University, Osaka, Japan"],"raw_orcid":"https://orcid.org/0000-0002-7305-0194","affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054442462","display_name":"Bojana Kodric","orcid":"https://orcid.org/0000-0001-7242-0096"},"institutions":[{"id":"https://openalex.org/I4210150763","display_name":"Gran Sasso Science Institute","ror":"https://ror.org/043qcb444","country_code":"IT","type":"education","lineage":["https://openalex.org/I160013858","https://openalex.org/I4210150763"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Bojana Kodric","raw_affiliation_strings":["Gran Sasso Science Institute, L\u2019Aquila, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Gran Sasso Science Institute, L\u2019Aquila, Italy","institution_ids":["https://openalex.org/I4210150763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070655747","display_name":"Tenda Okimoto","orcid":null},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tenda Okimoto","raw_affiliation_strings":["Graduate School of Maritime Sciences, Kobe University, Kobe, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Maritime Sciences, Kobe University, Kobe, Japan","institution_ids":["https://openalex.org/I65837984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076865709","display_name":"Katsutoshi Hirayama","orcid":"https://orcid.org/0000-0002-6656-5819"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Katsutoshi Hirayama","raw_affiliation_strings":["Graduate School of Maritime Sciences, Kobe University, Kobe, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Maritime Sciences, Kobe University, Kobe, Japan","institution_ids":["https://openalex.org/I65837984"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5037650781"],"corresponding_institution_ids":["https://openalex.org/I98285908"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":0.7375,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.82912451,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"34","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10991","display_name":"Game Theory and Voting Systems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10991","display_name":"Game Theory and Voting Systems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11031","display_name":"Game Theory and Applications","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6588857769966125},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5120051503181458},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49912142753601074},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41642579436302185},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32409918308258057},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32359153032302856}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6588857769966125},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5120051503181458},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49912142753601074},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41642579436302185},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32409918308258057},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32359153032302856}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s10458-020-09449-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10458-020-09449-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10458-020-09449-8.pdf","source":{"id":"https://openalex.org/S5405189","display_name":"Autonomous Agents and Multi-Agent Systems","issn_l":"1387-2532","issn":["1387-2532","1573-7454"],"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Autonomous Agents and Multi-Agent Systems","raw_type":"journal-article"},{"id":"pmh:oai:infocom.co.jp:G0000003oai:90006959","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S7407053249","display_name":"Infolib","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},{"id":"pmh:oai:iris.unive.it:10278/5035721","is_oa":false,"landing_page_url":"https://hdl.handle.net/10278/5035721","pdf_url":null,"source":{"id":"https://openalex.org/S4306402336","display_name":"ARCA (Universit\u00e0 Ca' Foscari Venezia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149461666","host_organization_name":"Ca' Foscari University of Venice","host_organization_lineage":["https://openalex.org/I149461666"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1007/s10458-020-09449-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10458-020-09449-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10458-020-09449-8.pdf","source":{"id":"https://openalex.org/S5405189","display_name":"Autonomous Agents and Multi-Agent Systems","issn_l":"1387-2532","issn":["1387-2532","1573-7454"],"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Autonomous Agents and Multi-Agent Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Partnerships for the goals","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/17"}],"awards":[{"id":"https://openalex.org/G7521499427","display_name":"Learning Relational Dynamics from State Transition","funder_award_id":"17H00763","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G7877160801","display_name":"Dynamic Robust Team Formation","funder_award_id":"17H01790","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3007715641.pdf","grobid_xml":"https://content.openalex.org/works/W3007715641.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W176996179","https://openalex.org/W182103076","https://openalex.org/W188850785","https://openalex.org/W202281664","https://openalex.org/W323055482","https://openalex.org/W959564729","https://openalex.org/W1501141062","https://openalex.org/W1532640871","https://openalex.org/W1533362332","https://openalex.org/W1788505167","https://openalex.org/W1945972058","https://openalex.org/W1975794688","https://openalex.org/W2015062753","https://openalex.org/W2020087586","https://openalex.org/W2033201011","https://openalex.org/W2084743556","https://openalex.org/W2097025453","https://openalex.org/W2097916157","https://openalex.org/W2104862135","https://openalex.org/W2128510237","https://openalex.org/W2138677310","https://openalex.org/W2145804072","https://openalex.org/W2147967802","https://openalex.org/W2156887976","https://openalex.org/W2167073044","https://openalex.org/W2212441983","https://openalex.org/W2217929882","https://openalex.org/W2255624210","https://openalex.org/W2401610261","https://openalex.org/W2572140260","https://openalex.org/W2802598964","https://openalex.org/W2897051468","https://openalex.org/W2898784649","https://openalex.org/W3102456121"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4224009465","https://openalex.org/W1575659177","https://openalex.org/W4290792893","https://openalex.org/W4286629047","https://openalex.org/W4306321456","https://openalex.org/W3046775127","https://openalex.org/W4205958290","https://openalex.org/W2029619274"],"abstract_inverted_index":{"Abstract":[0],"How":[1],"to":[2,33,95,108,166,201,206,292],"form":[3],"effective":[4],"coalitions":[5,47,76],"is":[6,22,62,93,106,143,158,165,199,230],"an":[7,116,144],"important":[8,200],"issue":[9],"in":[10,102],"multi-agent":[11,34],"systems.":[12],"Coalition":[13,134],"Structure":[14,135],"Generation":[15,136],"(":[16,137,247,259],"$${{\\mathsf":[17,36,138,248,260],"{CSG}}}$$":[18,37],"<mml:math":[19,38,68,140,149,186,228,237,250,257,262,283,288],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:mi>CSG</mml:mi></mml:math>":[20,39,69,150],")":[21,142,252,264],"a":[23,42,126,208,222,270,300],"fundamental":[24],"problem":[25,164],"whose":[26],"formalization":[27],"can":[28],"encompass":[29],"various":[30],"applications":[31],"related":[32],"cooperation.":[35],"involves":[40],"partitioning":[41],"set":[43],"of":[44,56,59,86,112,129,146,155,162,176,180,213,276,302],"agents":[45],"into":[46],"such":[48],"that":[49,74,81],"the":[50,54,57,83,99,110,152,168,174,177,191,211,214,274,277,293],"social":[51],"surplus":[52],"(i.e.,":[53],"sum":[55,175],"values":[58,179],"all":[60,75,181],"coalitions)":[61],"maximized.":[63],"In":[64,183,219],"traditional":[65],"$${\\mathsf":[66,147,184,226,235,255,281,286],"{CSG}}$$":[67,148],",":[70,188],"we":[71],"are":[72,265],"guaranteed":[73],"will":[77],"be":[78,96,119],"successfully":[79],"established,":[80],"is,":[82],"attendance":[84,153],"rate":[85],"each":[87,156],"agent":[88,117,157],"for":[89,225,234],"joining":[90],"any":[91],"coalition":[92,170,193],"assumed":[94],"1.0.":[97],"Having":[98],"real":[100],"world":[101],"mind,":[103],"however,":[104],"it":[105,198],"natural":[107],"consider":[109,202,207],"uncertainty":[111],"agents\u2019":[113],"availabilities,":[114],"e.g.,":[115],"might":[118],"available":[120],"only":[121],"two":[122],"or":[123],"three":[124],"days":[125],"week":[127],"because":[128],"his/her":[130],"own":[131],"schedule.":[132],"Probabilistic":[133],"{PCSG}}}$$":[139],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:mi>PCSG</mml:mi></mml:math>":[141,187,229,238],"extension":[145],"where":[151],"type":[154],"considered.":[159],"The":[160],"aim":[161],"this":[163,220],"find":[167],"optimal":[169,192],"structure":[171,194],"which":[172],"maximizes":[173],"expected":[178],"coalitions.":[182],"{PCSG}}$$":[185,227,236],"since":[189],"finding":[190],"easily":[195],"becomes":[196],"intractable,":[197],"approximation":[203],"algorithms,":[204],"i.e.,":[205],"trade-off":[209],"between":[210],"quality":[212,275],"returned":[215,279],"solution":[216,278],"and":[217,253,285,295],"tractability.":[218],"paper,":[221],"formal":[223],"framework":[224],"introduced.":[231],"Approximation":[232,241],"algorithms":[233],"called":[239],"Bounded":[240],"Algorithm":[242],"based":[243],"on":[244,273,299],"Attendance":[245],"Types":[246],"{BAAAT}}}$$":[249],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:mi>BAAAT</mml:mi></mml:math>":[251,258,284],"Involved":[254],"{BAAAT}}$$":[256,282],"{IBAAAT}}}$$":[261],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:mi>IBAAAT</mml:mi></mml:math>":[263,289],"then":[266],"presented.":[267],"We":[268],"prove":[269],"priori":[271],"bounds":[272],"by":[280],"{IBAAAT}}$$":[287],"with":[290],"respect":[291],"optimum":[294],"perform":[296],"experimental":[297],"evaluations":[298],"number":[301],"benchmarks.":[303]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2020-03-06T00:00:00"}
