{"id":"https://openalex.org/W4405487353","doi":"https://doi.org/10.1145/3670865.3673565","title":"Social Learning through Action-Signals","display_name":"Social Learning through Action-Signals","publication_year":2024,"publication_date":"2024-07-08","ids":{"openalex":"https://openalex.org/W4405487353","doi":"https://doi.org/10.1145/3670865.3673565"},"language":"en","primary_location":{"id":"doi:10.1145/3670865.3673565","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3670865.3673565","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM Conference on Economics and Computation","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/A5043429463","display_name":"Wenji Xu","orcid":"https://orcid.org/0000-0002-0906-6706"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Wenji Xu","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-0906-6706","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5043429463"],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23367234,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"374","last_page":"374"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11883","display_name":"Embodied and Extended Cognition","score":0.1046999990940094,"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"}},"topics":[{"id":"https://openalex.org/T11883","display_name":"Embodied and Extended Cognition","score":0.1046999990940094,"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/computer-science","display_name":"Computer science","score":0.65660560131073},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.6276853084564209},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36889779567718506}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.65660560131073},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.6276853084564209},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36889779567718506},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3670865.3673565","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3670865.3673565","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM Conference on Economics and Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6124058252","display_name":null,"funder_award_id":"CityU 21503721","funder_id":"https://openalex.org/F4320321592","funder_display_name":"Research Grants Council, University Grants Committee"},{"id":"https://openalex.org/G884660320","display_name":null,"funder_award_id":"7200695","funder_id":"https://openalex.org/F4320309893","funder_display_name":"City University of Hong Kong"}],"funders":[{"id":"https://openalex.org/F4320309893","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23"},{"id":"https://openalex.org/F4320321592","display_name":"Research Grants Council, University Grants Committee","ror":"https://ror.org/00djwmt25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"This":[0],"paper":[1],"studies":[2],"sequential":[3],"social":[4],"learning,":[5,49],"in":[6,30,118],"which":[7,72],"agents":[8,28,113,135],"learn":[9],"about":[10,61],"an":[11],"underlying":[12],"state":[13],"from":[14],"others'":[15],"actions.":[16,38],"In":[17],"contrast":[18],"to":[19,77],"the":[20,62,82,87],"classic":[21],"models":[22],"with":[23,140],"a":[24,41,52,108,115,124,146],"network":[25],"observational":[26],"structure,":[27],"arrive":[29],"cohorts":[31],"and":[32,44,57,143],"observe":[33],"action-signals":[34,56,101],"regarding":[35],"previous":[36],"cohorts'":[37],"We":[39],"identify":[40],"simple,":[42],"necessary,":[43],"sufficient":[45],"condition":[46,66],"for":[47,67],"asymptotic":[48],"called":[50],"separability,":[51],"joint":[53],"property":[54],"of":[55,81,89],"agents'":[58,74],"private":[59,75],"information":[60,76],"state.":[63],"A":[64],"necessary":[65],"separability":[68,97],"is":[69,92,98],"\"unbounded":[70],"beliefs\"":[71],"requires":[73],"generate":[78],"strong":[79],"evidence":[80,91],"true":[83],"state,":[84],"even":[85],"if":[86,100],"probability":[88],"such":[90],"small.":[93],"With":[94],"unbounded":[95],"beliefs,":[96],"satisfied":[99],"have":[102],"double":[103,127],"thresholds":[104],"so":[105,133],"that,":[106],"at":[107],"minimum,":[109],"they":[110],"reveal":[111],"whether":[112],"above":[114],"threshold":[116],"number":[117],"each":[119],"cohort":[120],"choose":[121,137],"actions":[122,139],"below":[123],"choice-threshold.":[125],"Without":[126],"thresholds,":[128],"learning":[129],"can":[130],"be":[131],"confounded":[132],"that":[134],"always":[136],"different":[138],"positive":[141],"probabilities":[142],"never":[144],"reach":[145],"consensus.":[147]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
