{"id":"https://openalex.org/W7204208495","doi":"https://doi.org/10.48550/arxiv.2608.22884","title":"Predicting the scale limits of social mechanisms in agent societies","display_name":"Predicting the scale limits of social mechanisms in agent societies","publication_year":2026,"publication_date":"2026-08-24","ids":{"openalex":"https://openalex.org/W7204208495","doi":"https://doi.org/10.48550/arxiv.2608.22884"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2608.22884","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2608.22884","pdf_url":"https://arxiv.org/pdf/2608.22884","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,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2608.22884","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137959865","display_name":"Zengqing Wu","orcid":null,"observed_orcids":[]},"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":false,"raw_author_name":"Wu, Zengqing","raw_affiliation_strings":["University of Osaka Osaka , Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Osaka Osaka , Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090377305","display_name":"Chuan Xiao","orcid":"https://orcid.org/0000-0001-6599-8762","observed_orcids":["https://orcid.org/0000-0001-6599-8762"]},"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":false,"raw_author_name":"Xiao, Chuan","raw_affiliation_strings":["University of Osaka Osaka , Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Osaka Osaka , Japan","institution_ids":["https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I98285908"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"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/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.739300012588501,"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":0.739300012588501,"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/T11252","display_name":"Evolutionary Game Theory and Cooperation","score":0.10769999772310257,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.060600001364946365,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/social-mechanisms","display_name":"social mechanisms","score":0.6629999876022339},{"id":"https://openalex.org/keywords/scale-limits","display_name":"scale limits","score":0.6579999923706055},{"id":"https://openalex.org/keywords/language-model-agents","display_name":"language model agents","score":0.7049999833106995},{"id":"https://openalex.org/keywords/collective-behavior","display_name":"collective behavior","score":0.8399999737739563},{"id":"https://openalex.org/keywords/reciprocity","display_name":"reciprocity","score":0.6119999885559082},{"id":"https://openalex.org/keywords/consensus","display_name":"consensus","score":0.8999999761581421},{"id":"https://openalex.org/keywords/punishment","display_name":"punishment","score":0.9380000233650208},{"id":"https://openalex.org/keywords/gossip","display_name":"gossip","score":0.9169999957084656},{"id":"https://openalex.org/keywords/social-information","display_name":"social information","score":0.421999990940094},{"id":"https://openalex.org/keywords/population-size","display_name":"population size","score":0.31700000166893005},{"id":"https://openalex.org/keywords/agent-societies","display_name":"agent societies","score":0.3959999978542328}],"concepts":[{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.6414999961853027},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.6256999969482422},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6000000238418579},{"id":"https://openalex.org/C199521495","wikidata":"https://www.wikidata.org/wiki/Q181487","display_name":"Audit","level":2,"score":0.5591999888420105},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5511000156402588},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4844000041484833},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.4690999984741211},{"id":"https://openalex.org/C2779295839","wikidata":"https://www.wikidata.org/wiki/Q3544090","display_name":"Punishment (psychology)","level":2,"score":0.45739999413490295},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.38350000977516174},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3652999997138977},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.32910001277923584},{"id":"https://openalex.org/C79416737","wikidata":"https://www.wikidata.org/wiki/Q2305519","display_name":"Social learning","level":2,"score":0.3237000107765198},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.3156999945640564},{"id":"https://openalex.org/C113336015","wikidata":"https://www.wikidata.org/wiki/Q574010","display_name":"Complete information","level":2,"score":0.311599999666214},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.30889999866485596},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3068999946117401},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.27709999680519104},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.2711000144481659},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.2678999900817871},{"id":"https://openalex.org/C179133015","wikidata":"https://www.wikidata.org/wiki/Q1639378","display_name":"Social system","level":2,"score":0.2662999927997589},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2651999890804291},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2639000117778778},{"id":"https://openalex.org/C72273685","wikidata":"https://www.wikidata.org/wiki/Q1673101","display_name":"Public goods game","level":3,"score":0.26030001044273376}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2608.22884","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2608.22884","pdf_url":"https://arxiv.org/pdf/2608.22884","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,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2608.22884","doi":"https://doi.org/10.48550/arxiv.2608.22884","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2608.22884","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,"listed_in":[],"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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2608.22884","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2608.22884","pdf_url":"https://arxiv.org/pdf/2608.22884","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,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G2489078468","display_name":"Research on Enhancing the Performance of Deep Learning and Search for Large-Scale Graphs","funder_award_id":"25H01117","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G2781111794","display_name":"\u81ea\u5f8b\u5354\u8abf\u578b\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u7d71\u5408\u57fa\u76e4\u306b\u95a2\u3059\u308b\u7814\u7a76","funder_award_id":"23K17456","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G4215919285","display_name":"Legal AI for Democratizing the Analysis of Judicial Decisions","funder_award_id":"26K03246","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G451006945","display_name":null,"funder_award_id":"JPMJCR22M2","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G5026330598","display_name":null,"funder_award_id":"JP-MJCR22M2","funder_id":"https://openalex.org/F4320338075","funder_display_name":"Core Research for Evolutional Science and Technology"},{"id":"https://openalex.org/G5617894317","display_name":"Self-optimized graph database management system with deep learning","funder_award_id":"23K28096","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"},{"id":"https://openalex.org/F4320338075","display_name":"Core Research for Evolutional Science and Technology","ror":"https://ror.org/00097mb19"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7204208495.pdf","grobid_xml":"https://content.openalex.org/works/W7204208495.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7222474279","https://openalex.org/W7156036250","https://openalex.org/W7130237881","https://openalex.org/W7203659237","https://openalex.org/W7214760055","https://openalex.org/W7167327078","https://openalex.org/W4415110447","https://openalex.org/W2188292840","https://openalex.org/W7098840369","https://openalex.org/W7161685820"],"abstract_inverted_index":{"Societies":[0],"of":[1,45,127,174],"interacting":[2],"language-model":[3,131],"agents":[4,46,79,133],"offer":[5],"a":[6,32,38,63,67,98,163,168,180],"controllable":[7],"and":[8,48,85,125,147,162],"repeatable":[9],"way":[10,182],"to":[11,21,137,141,150,183],"study":[12],"collective":[13],"behaviour":[14],"at":[15,115],"scales":[16],"that":[17,35,61,97],"would":[18],"be":[19,189],"difficult":[20],"test":[22],"with":[23],"people.":[24],"Their":[25],"scientific":[26],"value,":[27],"however,":[28],"depends":[29],"on":[30,159],"whether":[31,78,86,104],"social":[33,138,186],"mechanism":[34,75,118],"works":[36],"in":[37],"small":[39],"group":[40],"still":[41],"operates":[42],"when":[43],"thousands":[44],"interact,":[47],"testing":[49],"this":[50],"directly":[51],"requires":[52],"costly":[53],"large-scale":[54],"runs.":[55],"Here":[56],"we":[57],"introduce":[58],"an":[59],"audit":[60,178],"predicts":[62],"mechanism's":[64],"fate":[65],"as":[66],"population":[68,114,192],"grows.":[69],"It":[70],"asks":[71],"how":[72,142],"often":[73],"the":[74,81,87,113,117,123,172,175],"can":[76,102,188],"act,":[77],"use":[80],"information":[82,139],"it":[83,143],"supplies,":[84],"measurement":[88],"itself":[89],"creates":[90],"apparent":[91],"scale":[92,152],"effects.":[93],"Controlled":[94],"experiments":[95],"show":[96],"single":[99],"structural":[100],"term":[101],"decide":[103,184],"reciprocity,":[105],"consensus":[106],"or":[107],"punishment":[108],"survives":[109],"scaling.":[110],"For":[111],"gossip,":[112],"which":[116,185],"fails":[119],"is":[120,144],"set":[121],"by":[122],"reach":[124],"lifetime":[126],"its":[128],"messages.":[129],"In":[130],"societies,":[132],"respond":[134],"not":[135],"only":[136],"but":[140],"expressed:":[145],"counts":[146],"percentages":[148],"led":[149],"different":[151],"behaviour.":[153],"Predictions":[154],"made":[155],"before":[156],"execution":[157],"held":[158],"third-party":[160],"code":[161],"second":[164],"model":[165],"family,":[166],"while":[167],"failed":[169],"prediction":[170],"exposed":[171],"boundary":[173],"finding.":[176],"The":[177],"provides":[179],"prospective":[181],"mechanisms":[187],"interpreted":[190],"across":[191],"scales.":[193]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-08-26T00:00:00"}