{"id":"https://openalex.org/W7130056802","doi":"https://doi.org/10.1007/s10458-026-09733-z","title":"An efficient Bayesian learning-based opponent model considering parametric interrelation in automated bilateral multi-issue negotiation","display_name":"An efficient Bayesian learning-based opponent model considering parametric interrelation in automated bilateral multi-issue negotiation","publication_year":2026,"publication_date":"2026-02-17","ids":{"openalex":"https://openalex.org/W7130056802","doi":"https://doi.org/10.1007/s10458-026-09733-z"},"language":"en","primary_location":{"id":"doi:10.1007/s10458-026-09733-z","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10458-026-09733-z","pdf_url":null,"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":null,"license_id":null,"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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051781990","display_name":"Shengbo Chang","orcid":"https://orcid.org/0000-0001-6992-7566"},"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":true,"raw_author_name":"Shengbo Chang","raw_affiliation_strings":["Department of Industrial Engineering, Tsinghua University, 100084, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Tsinghua University, 100084, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022359423","display_name":"Katsuhide Fujita","orcid":"https://orcid.org/0000-0001-7867-4281"},"institutions":[{"id":"https://openalex.org/I92614990","display_name":"Tokyo University of Agriculture and Technology","ror":"https://ror.org/00qg0kr10","country_code":"JP","type":"education","lineage":["https://openalex.org/I92614990"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Katsuhide Fujita","raw_affiliation_strings":["Institute of Global Innovation Research (Institute of Engineering), Tokyo University of Agriculture and Technology, 1840014, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Institute of Global Innovation Research (Institute of Engineering), Tokyo University of Agriculture and Technology, 1840014, Tokyo, Japan","institution_ids":["https://openalex.org/I92614990"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5051781990"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.3970699,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.7857999801635742,"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/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.7857999801635742,"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/T11696","display_name":"Conflict Management and Negotiation","score":0.1340000033378601,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13643","display_name":"Artificial Intelligence in Law","score":0.009200000204145908,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5575000047683716},{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.5449000000953674},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5338000059127808},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.4327999949455261},{"id":"https://openalex.org/keywords/parametric-model","display_name":"Parametric model","score":0.3427000045776367},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.33880001306533813},{"id":"https://openalex.org/keywords/adversary","display_name":"Adversary","score":0.3206000030040741},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.32030001282691956}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5946000218391418},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5856000185012817},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5737000107765198},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5575000047683716},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.5449000000953674},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5338000059127808},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4327999949455261},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.3427000045776367},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.33880001306533813},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.3206000030040741},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.32030001282691956},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.3082999885082245},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.2858999967575073},{"id":"https://openalex.org/C199776023","wikidata":"https://www.wikidata.org/wiki/Q202875","display_name":"Negotiation","level":2,"score":0.28450000286102295},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2777999937534332},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.2750999927520752},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.27250000834465027},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27140000462532043},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27070000767707825},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.2696000039577484},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.2680000066757202},{"id":"https://openalex.org/C2777727622","wikidata":"https://www.wikidata.org/wiki/Q5251772","display_name":"Degeneracy (biology)","level":2,"score":0.263700008392334},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.258899986743927},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.25870001316070557},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.25360000133514404},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.25119999051094055},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25029999017715454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10458-026-09733-z","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10458-026-09733-z","pdf_url":null,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Autonomous Agents and Multi-Agent Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7426837500","display_name":null,"funder_award_id":"22H03641","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W165425597","https://openalex.org/W385183578","https://openalex.org/W619662171","https://openalex.org/W640648376","https://openalex.org/W888350731","https://openalex.org/W902610457","https://openalex.org/W1521146349","https://openalex.org/W1879067730","https://openalex.org/W1886567659","https://openalex.org/W2028574398","https://openalex.org/W2046002826","https://openalex.org/W2094123267","https://openalex.org/W2109690032","https://openalex.org/W2115759072","https://openalex.org/W2122924532","https://openalex.org/W2141078840","https://openalex.org/W2167149475","https://openalex.org/W2217332932","https://openalex.org/W2321956722","https://openalex.org/W2332699277","https://openalex.org/W2419083025","https://openalex.org/W2484193758","https://openalex.org/W2605250842","https://openalex.org/W2761697333","https://openalex.org/W2921835366","https://openalex.org/W2946012239","https://openalex.org/W2991117008","https://openalex.org/W3014929648","https://openalex.org/W3107599988","https://openalex.org/W3118957187","https://openalex.org/W3130182963","https://openalex.org/W3173498452","https://openalex.org/W3173562877","https://openalex.org/W3197765315","https://openalex.org/W3199837849","https://openalex.org/W3208755749","https://openalex.org/W4241697219","https://openalex.org/W4254929694","https://openalex.org/W4285607028","https://openalex.org/W4323240467","https://openalex.org/W4328024368","https://openalex.org/W4378438662","https://openalex.org/W4388294229","https://openalex.org/W4399054287","https://openalex.org/W7124145086","https://openalex.org/W7124271064","https://openalex.org/W7124297576","https://openalex.org/W7124309298"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-02-18T00:00:00"}