{"id":"https://openalex.org/W7153055580","doi":"https://doi.org/10.48550/arxiv.2604.07751","title":"Learning to Coordinate over Networks with Bounded Rationality","display_name":"Learning to Coordinate over Networks with Bounded Rationality","publication_year":2026,"publication_date":"2026-04-09","ids":{"openalex":"https://openalex.org/W7153055580","doi":"https://doi.org/10.48550/arxiv.2604.07751"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.07751","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.07751","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.07751","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133332191","display_name":"Zhewei Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Zhewei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012879525","display_name":"Emrah Akyol","orcid":"https://orcid.org/0000-0002-0663-1677"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Akyol, Emrah","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5007384409","display_name":"Marcos M. Vasconcelos","orcid":"https://orcid.org/0000-0002-8784-5916"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vasconcelos, Marcos M.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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/T11031","display_name":"Game Theory and Applications","score":0.7024999856948853,"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":0.7024999856948853,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.14839999377727509,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.03819999843835831,"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/bounded-rationality","display_name":"Bounded rationality","score":0.5048999786376953},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.48969998955726624},{"id":"https://openalex.org/keywords/monotone-polygon","display_name":"Monotone polygon","score":0.45210000872612},{"id":"https://openalex.org/keywords/nash-equilibrium","display_name":"Nash equilibrium","score":0.45159998536109924},{"id":"https://openalex.org/keywords/coordination-game","display_name":"Coordination game","score":0.4302000105381012},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4099999964237213},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.39489999413490295},{"id":"https://openalex.org/keywords/probability-measure","display_name":"Probability measure","score":0.3797000050544739},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.37689998745918274},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.36559998989105225}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5702999830245972},{"id":"https://openalex.org/C58694771","wikidata":"https://www.wikidata.org/wiki/Q814385","display_name":"Bounded rationality","level":2,"score":0.5048999786376953},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.48969998955726624},{"id":"https://openalex.org/C2834757","wikidata":"https://www.wikidata.org/wiki/Q4925424","display_name":"Monotone polygon","level":2,"score":0.45210000872612},{"id":"https://openalex.org/C46814582","wikidata":"https://www.wikidata.org/wiki/Q23389","display_name":"Nash equilibrium","level":2,"score":0.45159998536109924},{"id":"https://openalex.org/C107257861","wikidata":"https://www.wikidata.org/wiki/Q656316","display_name":"Coordination game","level":2,"score":0.4302000105381012},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4099999964237213},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.39489999413490295},{"id":"https://openalex.org/C21031990","wikidata":"https://www.wikidata.org/wiki/Q355020","display_name":"Probability measure","level":2,"score":0.3797000050544739},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.37869998812675476},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.37689998745918274},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.36559998989105225},{"id":"https://openalex.org/C201717286","wikidata":"https://www.wikidata.org/wiki/Q938185","display_name":"Rationality","level":2,"score":0.3625999987125397},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.3508000075817108},{"id":"https://openalex.org/C98951983","wikidata":"https://www.wikidata.org/wiki/Q7604341","display_name":"Stationary distribution","level":3,"score":0.3508000075817108},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.3393000066280365},{"id":"https://openalex.org/C197096303","wikidata":"https://www.wikidata.org/wiki/Q869887","display_name":"Probability mass function","level":3,"score":0.3312000036239624},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.3294999897480011},{"id":"https://openalex.org/C2778401447","wikidata":"https://www.wikidata.org/wiki/Q7140637","display_name":"Partition function (quantum field theory)","level":2,"score":0.3292999863624573},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.32749998569488525},{"id":"https://openalex.org/C95611797","wikidata":"https://www.wikidata.org/wiki/Q17502105","display_name":"Infimum and supremum","level":2,"score":0.3221000134944916},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.3174999952316284},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.3156000077724457},{"id":"https://openalex.org/C145071142","wikidata":"https://www.wikidata.org/wiki/Q1411116","display_name":"Fictitious play","level":3,"score":0.31380000710487366},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.31150001287460327},{"id":"https://openalex.org/C2775997480","wikidata":"https://www.wikidata.org/wiki/Q586277","display_name":"Degree (music)","level":2,"score":0.31060001254081726},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.30820000171661377},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.2994000017642975},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.29789999127388},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.2768999934196472},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.2750000059604645},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.2578999996185303},{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.2533000111579895},{"id":"https://openalex.org/C43994743","wikidata":"https://www.wikidata.org/wiki/Q516776","display_name":"Measurable function","level":3,"score":0.25200000405311584},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.25099998712539673}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.07751","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.07751","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.07751","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.07751","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Network":[0],"coordination":[1,93,237],"games":[2],"are":[3],"widely":[4],"used":[5],"to":[6,64,91,135,197],"model":[7,39],"collaboration":[8],"among":[9,243],"interconnected":[10],"agents,":[11],"with":[12,157],"applications":[13],"across":[14],"diverse":[15],"domains":[16],"including":[17],"economics,":[18],"robotics,":[19],"and":[20,124,201],"cyber-security.":[21],"We":[22,81,165],"consider":[23,73],"networks":[24,228],"of":[25,62,88,111,140,151,160,172,177,189,216,229],"bounded-rational":[26,231],"agents":[27,46,232],"who":[28],"interact":[29],"through":[30],"binary":[31],"stag":[32],"hunt":[33],"games,":[34],"a":[35,65,112,137,169],"canonical":[36],"game":[37],"theoretic":[38],"for":[40,168],"distributed":[41,242],"collaborative":[42],"tasks.":[43],"Herein,":[44],"the":[45,55,85,98,108,120,131,148,158,163,174,178,185,204,209,213,234],"update":[47],"their":[48],"actions":[49],"using":[50],"logit":[51],"response":[52],"functions,":[53],"yielding":[54],"Log-Linear":[56],"Learning":[57],"(LLL)":[58],"algorithm.":[59],"While":[60],"convergence":[61],"LLL":[63],"risk-dominant":[66],"Nash":[67],"equilibrium":[68],"requires":[69],"unbounded":[70],"rationality,":[71],"we":[72,105,125,145],"regimes":[74],"in":[75,97,119,162],"which":[76],"rationality":[77,99,133],"is":[78,94,117,181,221,240],"strictly":[79],"bounded.":[80],"first":[82],"show":[83,146,166],"that":[84,107,147,203,211,227],"stationary":[86,109,149,214],"probability":[87,110,150,215],"states":[89],"corresponding":[90],"perfect":[92],"monotone":[95,118],"increasing":[96],"parameter":[100],"$\u03b2$.":[101],"For":[102,142],"$K$-regular":[103],"networks,":[104,144,173],"prove":[106],"perfectly":[113,152],"coordinated":[114,153,217],"action":[115,154,218],"profile":[116],"connectivity":[121,239],"degree":[122,199],"$K$,":[123],"provide":[126],"an":[127],"upper":[128],"bound":[129],"on":[130],"minimum":[132],"required":[134],"achieve":[136,233],"desired":[138],"level":[139],"coordination.":[141],"irregular":[143],"profiles":[155,219],"increases":[156],"number":[159],"edges":[161],"graph.":[164],"that,":[167],"large":[170],"class":[171],"partition":[175],"function":[176,188],"Gibbs":[179],"measure":[180],"well":[182],"approximated":[183],"by":[184],"moment":[186],"generating":[187],"Gaussian":[190],"random":[191],"variable.":[192],"This":[193],"approximation":[194],"allows":[195],"us":[196],"optimize":[198],"distributions":[200],"establishes":[202],"optimal":[205],"network":[206],"-":[207,220],"i.e.,":[208],"one":[210],"maximizes":[212],"$K$-regular.":[222],"Consequently,":[223],"our":[224],"results":[225],"indicate":[226],"uniformly":[230],"most":[235],"reliable":[236],"when":[238],"evenly":[241],"agents.":[244]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-04-11T00:00:00"}