{"id":"https://openalex.org/W7123340501","doi":"https://doi.org/10.1109/cdc57313.2025.11312894","title":"Multi-Potential Games: Bipartite Conflicts and Nash Equilibria Equivalence Analysis","display_name":"Multi-Potential Games: Bipartite Conflicts and Nash Equilibria Equivalence Analysis","publication_year":2025,"publication_date":"2025-12-09","ids":{"openalex":"https://openalex.org/W7123340501","doi":"https://doi.org/10.1109/cdc57313.2025.11312894"},"language":null,"primary_location":{"id":"doi:10.1109/cdc57313.2025.11312894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc57313.2025.11312894","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 64th Conference on Decision and Control (CDC)","raw_type":"proceedings-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/A5015078816","display_name":"Aixin Liu","orcid":"https://orcid.org/0000-0001-7152-511X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Aixin Liu","raw_affiliation_strings":["Shanghai Jiao Tong University,The State Key Laboratory of Submarine Geoscience, School of Automation and Intelligent Sensing,Shanghai,China,200240"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,The State Key Laboratory of Submarine Geoscience, School of Automation and Intelligent Sensing,Shanghai,China,200240","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122880431","display_name":"Lin Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Wang","raw_affiliation_strings":["Shanghai Jiao Tong University,The State Key Laboratory of Submarine Geoscience, School of Automation and Intelligent Sensing,Shanghai,China,200240"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,The State Key Laboratory of Submarine Geoscience, School of Automation and Intelligent Sensing,Shanghai,China,200240","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021289896","display_name":"Ming Cao","orcid":"https://orcid.org/0000-0002-7753-1999"},"institutions":[{"id":"https://openalex.org/I169381384","display_name":"University of Groningen","ror":"https://ror.org/012p63287","country_code":"NL","type":"education","lineage":["https://openalex.org/I169381384"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Ming Cao","raw_affiliation_strings":["University of Groningen,ENTEG, Faculty of Science and Engineering,Groningen,The Netherlands,9747 AG"],"affiliations":[{"raw_affiliation_string":"University of Groningen,ENTEG, Faculty of Science and Engineering,Groningen,The Netherlands,9747 AG","institution_ids":["https://openalex.org/I169381384"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5015078816"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.74102564,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6352","last_page":"6357"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11031","display_name":"Game Theory and Applications","score":0.9115999937057495,"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"}},"topics":[{"id":"https://openalex.org/T11031","display_name":"Game Theory and Applications","score":0.9115999937057495,"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/T12794","display_name":"Adaptive Dynamic Programming Control","score":0.009700000286102295,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.009200000204145908,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/nash-equilibrium","display_name":"Nash equilibrium","score":0.7390999794006348},{"id":"https://openalex.org/keywords/normal-form-game","display_name":"Normal-form game","score":0.597100019454956},{"id":"https://openalex.org/keywords/best-response","display_name":"Best response","score":0.5849999785423279},{"id":"https://openalex.org/keywords/equivalence","display_name":"Equivalence (formal languages)","score":0.580299973487854},{"id":"https://openalex.org/keywords/risk-dominance","display_name":"Risk dominance","score":0.4964999854564667},{"id":"https://openalex.org/keywords/repeated-game","display_name":"Repeated game","score":0.49070000648498535},{"id":"https://openalex.org/keywords/strategy","display_name":"Strategy","score":0.47099998593330383},{"id":"https://openalex.org/keywords/epsilon-equilibrium","display_name":"Epsilon-equilibrium","score":0.460099995136261},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.450300008058548}],"concepts":[{"id":"https://openalex.org/C46814582","wikidata":"https://www.wikidata.org/wiki/Q23389","display_name":"Nash equilibrium","level":2,"score":0.7390999794006348},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.6703000068664551},{"id":"https://openalex.org/C155930848","wikidata":"https://www.wikidata.org/wiki/Q1069099","display_name":"Normal-form game","level":4,"score":0.597100019454956},{"id":"https://openalex.org/C32407928","wikidata":"https://www.wikidata.org/wiki/Q2733833","display_name":"Best response","level":3,"score":0.5849999785423279},{"id":"https://openalex.org/C2780069185","wikidata":"https://www.wikidata.org/wiki/Q7977945","display_name":"Equivalence (formal languages)","level":2,"score":0.580299973487854},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5723000168800354},{"id":"https://openalex.org/C22349654","wikidata":"https://www.wikidata.org/wiki/Q2039354","display_name":"Risk dominance","level":5,"score":0.4964999854564667},{"id":"https://openalex.org/C202556891","wikidata":"https://www.wikidata.org/wiki/Q1584646","display_name":"Repeated game","level":3,"score":0.49070000648498535},{"id":"https://openalex.org/C88959737","wikidata":"https://www.wikidata.org/wiki/Q1546627","display_name":"Strategy","level":3,"score":0.47099998593330383},{"id":"https://openalex.org/C141824439","wikidata":"https://www.wikidata.org/wiki/Q307521","display_name":"Epsilon-equilibrium","level":4,"score":0.460099995136261},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.450300008058548},{"id":"https://openalex.org/C13576547","wikidata":"https://www.wikidata.org/wiki/Q3965283","display_name":"Subgame","level":5,"score":0.4499000012874603},{"id":"https://openalex.org/C163630976","wikidata":"https://www.wikidata.org/wiki/Q964667","display_name":"Correlated equilibrium","level":5,"score":0.44190001487731934},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.43529999256134033},{"id":"https://openalex.org/C164407509","wikidata":"https://www.wikidata.org/wiki/Q5384490","display_name":"Equilibrium selection","level":4,"score":0.4320000112056732},{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.39989998936653137},{"id":"https://openalex.org/C175983524","wikidata":"https://www.wikidata.org/wiki/Q1615834","display_name":"Subgame perfect equilibrium","level":3,"score":0.3813000023365021},{"id":"https://openalex.org/C107257861","wikidata":"https://www.wikidata.org/wiki/Q656316","display_name":"Coordination game","level":2,"score":0.37549999356269836},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.3407999873161316},{"id":"https://openalex.org/C146930158","wikidata":"https://www.wikidata.org/wiki/Q656416","display_name":"Extensive-form game","level":4,"score":0.3199999928474426},{"id":"https://openalex.org/C21603316","wikidata":"https://www.wikidata.org/wiki/Q650738","display_name":"Folk theorem","level":5,"score":0.3151000142097473},{"id":"https://openalex.org/C47175762","wikidata":"https://www.wikidata.org/wiki/Q13422573","display_name":"Non-cooperative game","level":3,"score":0.30480000376701355},{"id":"https://openalex.org/C73795354","wikidata":"https://www.wikidata.org/wiki/Q287618","display_name":"Sequential game","level":3,"score":0.2957000136375427},{"id":"https://openalex.org/C93733245","wikidata":"https://www.wikidata.org/wiki/Q3770642","display_name":"Symmetric game","level":5,"score":0.272599995136261},{"id":"https://openalex.org/C11343654","wikidata":"https://www.wikidata.org/wiki/Q780008","display_name":"Solution concept","level":3,"score":0.26980000734329224},{"id":"https://openalex.org/C2780841128","wikidata":"https://www.wikidata.org/wiki/Q5073781","display_name":"Characterization (materials science)","level":2,"score":0.2565999925136566},{"id":"https://openalex.org/C122818955","wikidata":"https://www.wikidata.org/wiki/Q1060343","display_name":"Independent set","level":3,"score":0.2526000142097473}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc57313.2025.11312894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc57313.2025.11312894","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 64th Conference on Decision and Control (CDC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.4624878764152527,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"A":[0],"multi-potential":[1,64,84,90,127],"game":[2,7,65,119],"extends":[3],"the":[4,19,28,53,63,67,77,83,87,99,105,109,117,122],"classical":[5],"potential":[6,36,43,69],"by":[8,39],"grouping":[9],"players":[10,22,33,57],"into":[11],"distinct":[12],"subsets.":[13],"Within":[14],"each":[15],"subset,":[16],"given":[17],"that":[18,51,76],"strategies":[20],"of":[21,71,96,111,124],"in":[23,82,98,116],"other":[24],"subsets":[25],"remain":[26],"fixed,":[27],"interactions":[29],"among":[30,56],"this":[31,46],"subset\u2019s":[32],"form":[34],"a":[35,94],"subgame":[37],"characterized":[38],"its":[40],"own":[41],"restricted":[42],"function.":[44],"In":[45],"paper,":[47],"we":[48,74,103,131],"first":[49],"establish":[50,104],"when":[52],"conflict":[54],"relationships":[55],"exist":[58],"and":[59],"follow":[60],"structural":[61],"balance,":[62],"achieves":[66],"minimal":[68],"index":[70],"two.":[72],"Then,":[73],"prove":[75],"pure":[78,88,112,125],"strategy":[79,89,113,126],"Nash":[80,91,114,128],"equilibria":[81,115],"framework,":[85],"called":[86],"equilibria,":[92],"are":[93],"subset":[95],"those":[97],"original":[100,118],"game.":[101],"Furthermore,":[102],"conditions":[106],"under":[107],"which":[108],"set":[110,123],"coincides":[120],"with":[121],"equilibria.":[129],"Finally,":[130],"provide":[132],"an":[133],"illustrative":[134],"example":[135],"to":[136],"demonstrate":[137],"our":[138],"findings.":[139]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-01-14T00:00:00"}
