{"id":"https://openalex.org/W7160963954","doi":"https://doi.org/10.48550/arxiv.2605.10505","title":"A Theory of Multilevel Interactive Equilibrium in NeuroAI","display_name":"A Theory of Multilevel Interactive Equilibrium in NeuroAI","publication_year":2026,"publication_date":"2026-05-11","ids":{"openalex":"https://openalex.org/W7160963954","doi":"https://doi.org/10.48550/arxiv.2605.10505"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.10505","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.10505","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.10505","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100457703","display_name":"Zhe Chen","orcid":"https://orcid.org/0000-0002-6483-6056"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Zhe Sage","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135916325","display_name":"Quanyan Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu, Quanyan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"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":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11431","display_name":"Action Observation and Synchronization","score":0.1145000010728836,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11431","display_name":"Action Observation and Synchronization","score":0.1145000010728836,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10042","display_name":"Neural and Behavioral Psychology Studies","score":0.10719999670982361,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11883","display_name":"Embodied and Extended Cognition","score":0.08020000159740448,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/nash-equilibrium","display_name":"Nash equilibrium","score":0.6420999765396118},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.5109999775886536},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.43479999899864197},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.4230000078678131},{"id":"https://openalex.org/keywords/equilibrium-selection","display_name":"Equilibrium selection","score":0.39809998869895935},{"id":"https://openalex.org/keywords/mathematical-theory","display_name":"Mathematical theory","score":0.37959998846054077},{"id":"https://openalex.org/keywords/solution-concept","display_name":"Solution concept","score":0.3675999939441681},{"id":"https://openalex.org/keywords/fictitious-play","display_name":"Fictitious play","score":0.3522000014781952}],"concepts":[{"id":"https://openalex.org/C46814582","wikidata":"https://www.wikidata.org/wiki/Q23389","display_name":"Nash equilibrium","level":2,"score":0.6420999765396118},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.61080002784729},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.5109999775886536},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.43479999899864197},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.4230000078678131},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.4074999988079071},{"id":"https://openalex.org/C164407509","wikidata":"https://www.wikidata.org/wiki/Q5384490","display_name":"Equilibrium selection","level":4,"score":0.39809998869895935},{"id":"https://openalex.org/C2779193601","wikidata":"https://www.wikidata.org/wiki/Q20026918","display_name":"Mathematical theory","level":2,"score":0.37959998846054077},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3763999938964844},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37459999322891235},{"id":"https://openalex.org/C11343654","wikidata":"https://www.wikidata.org/wiki/Q780008","display_name":"Solution concept","level":3,"score":0.3675999939441681},{"id":"https://openalex.org/C145071142","wikidata":"https://www.wikidata.org/wiki/Q1411116","display_name":"Fictitious play","level":3,"score":0.3522000014781952},{"id":"https://openalex.org/C32848918","wikidata":"https://www.wikidata.org/wiki/Q845789","display_name":"Observable","level":2,"score":0.34529998898506165},{"id":"https://openalex.org/C58694771","wikidata":"https://www.wikidata.org/wiki/Q814385","display_name":"Bounded rationality","level":2,"score":0.34310001134872437},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3165999948978424},{"id":"https://openalex.org/C163630976","wikidata":"https://www.wikidata.org/wiki/Q964667","display_name":"Correlated equilibrium","level":5,"score":0.27880001068115234},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2757999897003174},{"id":"https://openalex.org/C69663246","wikidata":"https://www.wikidata.org/wiki/Q623221","display_name":"Algorithmic game theory","level":4,"score":0.2727000117301941},{"id":"https://openalex.org/C130327152","wikidata":"https://www.wikidata.org/wiki/Q748349","display_name":"Mathematical structure","level":2,"score":0.2680000066757202},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.267300009727478},{"id":"https://openalex.org/C11934016","wikidata":"https://www.wikidata.org/wiki/Q6007196","display_name":"Implementation theory","level":4,"score":0.2653999924659729},{"id":"https://openalex.org/C92393732","wikidata":"https://www.wikidata.org/wiki/Q1790374","display_name":"Learning theory","level":2,"score":0.25209999084472656}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.10505","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.10505","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.10505","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.10505","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0,120,141],"propose":[1],"a":[2,30],"game-theoretic":[3],"framework":[4,28,104],"for":[5,33,149,157],"adaptive":[6],"multi-agent":[7],"intelligent":[8,71],"systems.":[9,119],"Unlike":[10],"classical":[11,67],"game":[12,46,125],"theory,":[13],"which":[14],"often":[15],"treats":[16],"strategies":[17,97,145],"as":[18,42],"primitive":[19],"objects":[20],"chosen":[21],"by":[22],"perfectly":[23],"rational":[24],"agents,":[25,115],"the":[26,66,82],"proposed":[27],"provides":[29],"mathematical":[31],"foundation":[32],"studying":[34],"equilibrium":[35,69,87],"in":[36],"NeuroAI":[37],"and":[38,56,95,138,146,152,155],"can":[39],"be":[40],"viewed":[41],"an":[43],"extension":[44],"of":[45,84,123],"theory":[47,126],"under":[48],"relaxed":[49],"assumptions,":[50],"including":[51],"partial":[52],"observability,":[53],"bounded":[54],"computation,":[55],"uncertainty.":[57],"At":[58],"its":[59],"core,":[60],"Multilevel":[61],"Interactive":[62],"Equilibrium":[63],"(MIE)":[64],"generalizes":[65],"Nash":[68],"to":[70,107,127],"systems":[72],"with":[73],"internal":[74],"computation.":[75],"Rather":[76],"than":[77],"being":[78],"defined":[79],"solely":[80],"at":[81],"level":[83],"observable":[85],"behavior,":[86],"emerges":[88],"when":[89],"neural":[90],"learning":[91],"dynamics,":[92],"cognitive":[93],"representations,":[94],"behavioral":[96],"mutually":[98],"stabilize":[99],"between":[100,109],"interacting":[101],"agents.":[102],"This":[103],"applies":[105],"uniformly":[106],"interactions":[108],"two":[110,113],"biological":[111],"brains,":[112],"artificial":[114],"or":[116],"hybrid":[117],"human-AI":[118],"discuss":[121,153],"applications":[122],"multilevel":[124],"human-autonomous":[128],"vehicle":[129],"driving,":[130],"human-machine":[131],"interaction,":[132,137],"human-large":[133],"language":[134],"model":[135],"(LLM)":[136],"computational":[139,147],"psychiatry.":[140],"also":[142],"outline":[143],"experimental":[144],"methods":[148],"estimating":[150],"MIE":[151],"challenges":[154],"prospects":[156],"future":[158],"research.":[159]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-05-13T00:00:00"}