{"id":"https://openalex.org/W3118348921","doi":"https://doi.org/10.1109/cdc42340.2020.9304387","title":"Social Learning with Sparse Belief Samples","display_name":"Social Learning with Sparse Belief Samples","publication_year":2020,"publication_date":"2020-12-14","ids":{"openalex":"https://openalex.org/W3118348921","doi":"https://doi.org/10.1109/cdc42340.2020.9304387","mag":"3118348921"},"language":"en","primary_location":{"id":"doi:10.1109/cdc42340.2020.9304387","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc42340.2020.9304387","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 59th IEEE 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/A5056868351","display_name":"Rabih Salhab","orcid":"https://orcid.org/0000-0002-3332-1308"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rabih Salhab","raw_affiliation_strings":["Institute for Data, Systems, and Society (IDSS), Massachusetts Institute of Technology (MIT), Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Data, Systems, and Society (IDSS), Massachusetts Institute of Technology (MIT), Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084919964","display_name":"Amir Ajorlou","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amir Ajorlou","raw_affiliation_strings":["Institute for Data, Systems, and Society (IDSS), Massachusetts Institute of Technology (MIT), Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Data, Systems, and Society (IDSS), Massachusetts Institute of Technology (MIT), Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078288116","display_name":"Ali Jadbabaie","orcid":"https://orcid.org/0000-0003-1122-3069"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ali Jadbabaie","raw_affiliation_strings":["Institute for Data, Systems, and Society (IDSS), Massachusetts Institute of Technology (MIT), Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Data, Systems, and Society (IDSS), Massachusetts Institute of Technology (MIT), Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6678,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.69071302,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1792","last_page":"1797"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9911999702453613,"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"}},"topics":[{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9911999702453613,"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/T11147","display_name":"Misinformation and Its Impacts","score":0.9829999804496765,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9681000113487244,"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-learning","display_name":"Social learning","score":0.6059179306030273},{"id":"https://openalex.org/keywords/imperfect","display_name":"Imperfect","score":0.5848388075828552},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5552586317062378},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5247944593429565},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.48500701785087585},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.4627781808376312},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4517887234687805},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4517119526863098},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4174901843070984},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3646513819694519},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2826322317123413},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.17442169785499573}],"concepts":[{"id":"https://openalex.org/C79416737","wikidata":"https://www.wikidata.org/wiki/Q2305519","display_name":"Social learning","level":2,"score":0.6059179306030273},{"id":"https://openalex.org/C2780310539","wikidata":"https://www.wikidata.org/wiki/Q12547192","display_name":"Imperfect","level":2,"score":0.5848388075828552},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5552586317062378},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5247944593429565},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.48500701785087585},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.4627781808376312},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4517887234687805},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4517119526863098},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4174901843070984},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3646513819694519},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2826322317123413},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.17442169785499573},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc42340.2020.9304387","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc42340.2020.9304387","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 59th IEEE Conference on Decision and Control (CDC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1892018222","https://openalex.org/W1998692453","https://openalex.org/W1999678910","https://openalex.org/W2086645750","https://openalex.org/W2125035738","https://openalex.org/W2157201325","https://openalex.org/W2169071224","https://openalex.org/W2169826194","https://openalex.org/W2795239532","https://openalex.org/W2943448407","https://openalex.org/W3125863268","https://openalex.org/W4211192810","https://openalex.org/W4250134109"],"related_works":["https://openalex.org/W2407375987","https://openalex.org/W3049691116","https://openalex.org/W2505726097","https://openalex.org/W2010643158","https://openalex.org/W2106867672","https://openalex.org/W4310268968","https://openalex.org/W2950975704","https://openalex.org/W4297815943","https://openalex.org/W2053745677","https://openalex.org/W2189378472"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,51,83],"present":[4],"a":[5,11,15,39,129,185],"non-Bayesian":[6],"model":[7],"of":[8,17,24,34,42,60,79,96,108,143,187,209,217],"learning":[9,133,232],"over":[10,76,104],"social":[12,132,231],"network":[13],"where":[14],"group":[16,186],"agents":[18,67],"with":[19,94,172],"insufficient":[20],"and":[21,140,222],"heterogeneous":[22],"sources":[23],"information":[25],"share":[26,69],"their":[27,73,86,122,126,157,162],"experiences":[28],"to":[29,81,91],"learn":[30],"an":[31,201],"underlying":[32],"state":[33,171,208],"the":[35,58,77,98,105,144,154,170,177,182,214,218],"world.":[36],"Inspired":[37],"by":[38,57],"recent":[40],"body":[41],"research":[43],"in":[44,190,229],"cognitive":[45,115],"science":[46],"on":[47,118,176],"human":[48],"decision":[49],"making,":[50],"presume":[52],"two":[53],"behavioral":[54],"assumptions.":[55],"Motivated":[56],"coarseness":[59],"communication,":[61],"our":[62],"first":[63],"assumption":[64,112],"posits":[65],"that":[66,95,149,181,195,223],"only":[68],"samples":[70],"taken":[71],"from":[72,137,213],"belief":[74],"distribution":[75,103],"set":[78,107],"states,":[80],"which":[82,119,135],"refer":[84],"as":[85,152],"actions.":[87],"This":[88,193],"situation":[89],"is":[90,113,200,211],"be":[92],"contrasted":[93],"sharing":[97],"full":[99],"belief,":[100],"i.e.":[101],"probability":[102],"entire":[106],"states.":[109,192],"The":[110],"second":[111],"limited":[114],"power,":[116],"based":[117],"individuals":[120,155],"incorporate":[121],"neighbors'":[123,158],"actions":[124,159],"into":[125],"beliefs":[127],"following":[128],"simple":[130],"DeGroot-like":[131],"rule":[134],"suffers":[136],"redundancy":[138],"neglect":[139],"imperfect":[141],"recall":[142],"past":[145],"history.":[146],"We":[147],"show":[148],"so":[150],"long":[151],"all":[153],"trust":[156],"more":[160],"than":[161],"private":[163,225],"signals,":[164],"they":[165],"may":[166],"end":[167],"up":[168],"mislearning":[169],"positive":[173],"probability.":[174],"Learning,":[175],"other":[178],"hand,":[179],"requires":[180],"population":[183],"includes":[184],"self-confident":[188],"experts":[189],"different":[191],"means":[194],"for":[196,206],"each":[197],"state,":[198],"there":[199],"agent":[202],"whose":[203],"signaling":[204,220],"function":[205],"her":[207,224,230],"expertise":[210],"distinguishable":[212],"convex":[215],"hull":[216],"remaining":[219],"functions,":[221],"signals":[226],"sufficiently":[227],"weigh":[228],"rule.":[233]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}