{"id":"https://openalex.org/W4226081433","doi":"https://doi.org/10.1109/tac.2022.3165483","title":"Informational Cascades With Nonmyopic Agents","display_name":"Informational Cascades With Nonmyopic Agents","publication_year":2022,"publication_date":"2022-04-06","ids":{"openalex":"https://openalex.org/W4226081433","doi":"https://doi.org/10.1109/tac.2022.3165483"},"language":"en","primary_location":{"id":"doi:10.1109/tac.2022.3165483","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tac.2022.3165483","pdf_url":null,"source":{"id":"https://openalex.org/S184954342","display_name":"IEEE Transactions on Automatic Control","issn_l":"0018-9286","issn":["0018-9286","1558-2523","2334-3303"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Automatic Control","raw_type":"journal-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/A5020882454","display_name":"Ilai Bistritz","orcid":"https://orcid.org/0000-0002-4120-8292"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ilai Bistritz","raw_affiliation_strings":["Department of Electrical Engineering, Stanford University, Stanford, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065930596","display_name":"Nasimeh Heydaribeni","orcid":"https://orcid.org/0000-0001-8097-9885"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nasimeh Heydaribeni","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021002637","display_name":"Achilleas Anastasopoulos","orcid":"https://orcid.org/0000-0003-3795-1654"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Achilleas Anastasopoulos","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5020882454"],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":1.473,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.82778655,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"67","issue":"9","first_page":"4451","last_page":"4466"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11031","display_name":"Game Theory and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9909999966621399,"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/T12137","display_name":"Economic theories and models","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.6028842926025391},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.5459737181663513},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.535653293132782},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5051408410072327},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.5036880373954773},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48320472240448},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4709549844264984},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4391346871852875},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.414108008146286},{"id":"https://openalex.org/keywords/bayesian-game","display_name":"Bayesian game","score":0.4135048985481262},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.2507712244987488},{"id":"https://openalex.org/keywords/repeated-game","display_name":"Repeated game","score":0.2482251226902008},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2042756974697113},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1768016219139099}],"concepts":[{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.6028842926025391},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5459737181663513},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.535653293132782},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5051408410072327},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.5036880373954773},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48320472240448},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4709549844264984},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4391346871852875},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.414108008146286},{"id":"https://openalex.org/C200594392","wikidata":"https://www.wikidata.org/wiki/Q812529","display_name":"Bayesian game","level":4,"score":0.4135048985481262},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.2507712244987488},{"id":"https://openalex.org/C202556891","wikidata":"https://www.wikidata.org/wiki/Q1584646","display_name":"Repeated game","level":3,"score":0.2482251226902008},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2042756974697113},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1768016219139099},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tac.2022.3165483","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tac.2022.3165483","pdf_url":null,"source":{"id":"https://openalex.org/S184954342","display_name":"IEEE Transactions on Automatic Control","issn_l":"0018-9286","issn":["0018-9286","1558-2523","2334-3303"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Automatic Control","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2887585191","display_name":null,"funder_award_id":"ECCS-1608361","funder_id":"https://openalex.org/F4320335353","funder_display_name":"National Science Foundation of Sri Lanka"}],"funders":[{"id":"https://openalex.org/F4320335353","display_name":"National Science Foundation of Sri Lanka","ror":"https://ror.org/010xaa060"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1986285575","https://openalex.org/W1989446481","https://openalex.org/W1991888757","https://openalex.org/W2002598678","https://openalex.org/W2031798454","https://openalex.org/W2033005305","https://openalex.org/W2034586501","https://openalex.org/W2078105904","https://openalex.org/W2092646584","https://openalex.org/W2096605213","https://openalex.org/W2122489728","https://openalex.org/W2130506100","https://openalex.org/W2140950724","https://openalex.org/W2145976030","https://openalex.org/W2158332508","https://openalex.org/W2169826194","https://openalex.org/W2280386704","https://openalex.org/W2596444277","https://openalex.org/W2596597071","https://openalex.org/W2793518652","https://openalex.org/W2913925719","https://openalex.org/W2963241602","https://openalex.org/W2963764295","https://openalex.org/W2963798111","https://openalex.org/W2963857760","https://openalex.org/W2963860935","https://openalex.org/W2964257141","https://openalex.org/W2992530498","https://openalex.org/W3011681209","https://openalex.org/W3022273187","https://openalex.org/W3111144959","https://openalex.org/W3122000667","https://openalex.org/W3122205285","https://openalex.org/W3123232651","https://openalex.org/W3124308560","https://openalex.org/W3131172504","https://openalex.org/W4226081433","https://openalex.org/W4250134109","https://openalex.org/W4286774578","https://openalex.org/W4293897283","https://openalex.org/W4360997592","https://openalex.org/W6695408425","https://openalex.org/W6783203735"],"related_works":["https://openalex.org/W3102958135","https://openalex.org/W2156788334","https://openalex.org/W2346634343","https://openalex.org/W2116911522","https://openalex.org/W2338492941","https://openalex.org/W2083645236","https://openalex.org/W2060245258","https://openalex.org/W2103413037","https://openalex.org/W3123400326","https://openalex.org/W3148501928"],"abstract_inverted_index":{"We":[0,152],"consider":[1],"an":[2,292,295,349],"environmentwhere":[3],"players":[4,56,86,101,122,234,307,323],"need":[5],"to":[6,9,33,95,107,126],"decide":[7,125],"whether":[8],"buy":[10,127,324],"a":[11,16,112,154,165,189,213,242,255,266,275,317],"certain":[12],"product":[13,21,129,287,326,344],"(or":[14],"adopt":[15],"technology)":[17],"or":[18,25,134],"not.":[19],"The":[20],"is":[22,31,114,138,252,288,345],"either":[23],"good":[24],"bad,":[26,289,346],"but":[27],"its":[28,45],"true":[29],"value":[30],"unknown":[32],"the":[34,51,59,62,68,82,88,121,128,132,139,175,186,231,246,250,286,306,314,322,325,343],"players.":[35,178],"Instead,":[36],"each":[37,110],"player":[38,48,113],"has":[39],"her":[40],"own":[41],"private":[42,310],"information":[43,248],"on":[44,198],"quality.":[46],"Each":[47],"can":[49,124,298],"observe":[50],"previous":[52],"actions":[53,89],"of":[54,61,90,156,168,177,188,233,245,305],"other":[55],"and":[57,85,123,130,144,191,259,273,312,342],"estimate":[58],"quality":[60],"product.":[63],"A":[64],"classic":[65],"result":[66],"in":[67,72,98,205,249],"literature":[69],"shows":[70],"that":[71,170,211,264],"similar":[73],"settings,":[74],"informational":[75,203,224,296,352],"cascades":[76,204,225,353],"occur,":[77],"where":[78,294,320,351],"learning":[79],"stops":[80],"for":[81,212,265,274,316],"whole":[83],"network":[84],"repeat":[87],"their":[91,309],"predecessors.":[92],"In":[93,109],"contrast":[94],"this":[96,99,180,199],"literature,":[97],"paper,":[100],"get":[102],"more":[103,260],"than":[104,222],"one":[105],"opportunity":[106],"act.":[108],"turn,":[111],"chosen":[115],"uniformly":[116],"at":[117,302,357],"random":[118],"from":[119],"all":[120,321],"leave":[131],"market":[133],"wait.":[135],"Her":[136],"utility":[137],"total":[140,247],"expected":[141],"discounted":[142],"reward,":[143],"thus,":[145],"myopic":[146],"strategies":[147,163],"may":[148],"not":[149,355],"constitute":[150],"equilibria.":[151],"provide":[153],"characterization":[155],"perfect":[157],"Bayesian":[158],"equilibria":[159],"(PBEs)":[160],"with":[161,174,194,227,329],"forward-looking":[162],"through":[164],"fixed-point":[166,182],"equation":[167],"dimensionality":[169],"grows":[171],"only":[172,241,300],"quadratically":[173],"number":[176,232],"Using":[179],"tractable":[181],"equation,":[183],"we":[184,201,209,262],"show":[185,210,263],"existence":[187],"PBE":[190],"characterize":[192],"PBEs":[193],"threshold":[195],"strategies.":[196],"Based":[197],"characterization,":[200],"study":[202],"two":[206],"regimes.":[207],"First,":[208],"discount":[214],"factor":[215],"<inline-formula":[216,235,268,278,330,337],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[217,236,269,279,331,338],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[218,237,270,280,332,339],"notation=\"LaTeX\">$\\delta$</tex-math></inline-formula>":[219],"strictly":[220],"smaller":[221],"1,":[223],"happen":[226,299,356],"high":[228],"probability":[229,315],"as":[230],"notation=\"LaTeX\">$N$</tex-math></inline-formula>":[238,271,333],"increases.":[239],"Furthermore,":[240],"small":[243],"portion":[244],"system":[251],"revealed":[253,308],"before":[254],"cascade":[256,297],"occurs.":[257],"Second,":[258],"surprisingly,":[261],"fixed":[267],",":[272,284],"sufficiently":[276],"large":[277],"notation=\"LaTeX\">$\\delta":[281,340],"&lt;":[282],"1$</tex-math></inline-formula>":[283],"when":[285,336],"there":[290,347],"exists":[291,348],"equilibrium":[293,350],"after":[301],"least":[303],"half":[304],"information,":[311],"consequently,":[313],"\u201cbad":[318],"cascade\u201d":[319],"vanishes":[327],"exponentially":[328],".":[334],"Finally,":[335],"=1$</tex-math></inline-formula>":[341],"do":[354],"all.":[358]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
