{"id":"https://openalex.org/W2307833019","doi":null,"title":"Multiagent social learning in large repeated games","display_name":"Multiagent social learning in large repeated games","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W2307833019","mag":"2307833019"},"language":"en","primary_location":{"id":"mag:2307833019","doi":null,"is_oa":false,"landing_page_url":"http://dl.acm.org/citation.cfm?id=1925685","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5043058554","display_name":"Stephen F. Smith","orcid":"https://orcid.org/0000-0002-7053-3166","observed_orcids":["https://orcid.org/0000-0002-7053-3166"]},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stephen F. Smith","raw_affiliation_strings":["Carnegie Mellon University"],"raw_orcid":"https://orcid.org/0000-0002-7053-3166","affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019807694","display_name":"Jean Oh","orcid":"https://orcid.org/0000-0001-9709-2658","observed_orcids":["https://orcid.org/0000-0001-9709-2658"]},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jean Oh","raw_affiliation_strings":["Carnegie Mellon University"],"raw_orcid":"https://orcid.org/0000-0001-9709-2658","affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":0.8901,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.77023673,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"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":0.9692000150680542,"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":0.9692000150680542,"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/T11252","display_name":"Evolutionary Game Theory and Cooperation","score":0.012199999764561653,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.006899999920278788,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/multi-agent-learning","display_name":"multi-agent learning","score":0.9309999942779541},{"id":"https://openalex.org/keywords/social-learning","display_name":"social learning","score":0.9800000190734863},{"id":"https://openalex.org/keywords/repeated-games","display_name":"repeated games","score":0.9380000233650208},{"id":"https://openalex.org/keywords/bounded-rationality","display_name":"bounded rationality","score":0.8709999918937683},{"id":"https://openalex.org/keywords/nash-equilibrium","display_name":"Nash equilibrium","score":0.7950000166893005},{"id":"https://openalex.org/keywords/self-organization","display_name":"self-organization","score":0.7960000038146973},{"id":"https://openalex.org/keywords/imperfect-monitoring","display_name":"imperfect monitoring","score":0.7490000128746033},{"id":"https://openalex.org/keywords/multi-agent-systems","display_name":"multi-agent systems","score":0.36500000953674316}],"concepts":[{"id":"https://openalex.org/C2777742833","wikidata":"https://www.wikidata.org/wiki/Q1964083","display_name":"Reciprocal","level":2,"score":0.6113579273223877},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5921348929405212},{"id":"https://openalex.org/C132010649","wikidata":"https://www.wikidata.org/wiki/Q189222","display_name":"Intuition","level":2,"score":0.5126844644546509},{"id":"https://openalex.org/C46814582","wikidata":"https://www.wikidata.org/wiki/Q23389","display_name":"Nash equilibrium","level":2,"score":0.4954928159713745},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.49270275235176086},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.46614566445350647},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4652847349643707},{"id":"https://openalex.org/C202556891","wikidata":"https://www.wikidata.org/wiki/Q1584646","display_name":"Repeated game","level":3,"score":0.4557203948497772},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4487546384334564},{"id":"https://openalex.org/C58694771","wikidata":"https://www.wikidata.org/wiki/Q814385","display_name":"Bounded rationality","level":2,"score":0.44193243980407715},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.42977267503738403},{"id":"https://openalex.org/C79416737","wikidata":"https://www.wikidata.org/wiki/Q2305519","display_name":"Social learning","level":2,"score":0.4243129789829254},{"id":"https://openalex.org/C31772880","wikidata":"https://www.wikidata.org/wiki/Q2666479","display_name":"Rational agent","level":2,"score":0.42155879735946655},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.40467193722724915},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.39712393283843994},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33623337745666504},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.19799888134002686},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16888585686683655},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.15082284808158875},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.13386216759681702},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.12255007028579712},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2307833019","doi":null,"is_oa":false,"landing_page_url":"http://dl.acm.org/citation.cfm?id=1925685","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W20277880","https://openalex.org/W106510103","https://openalex.org/W219192326","https://openalex.org/W316323024","https://openalex.org/W1519783625","https://openalex.org/W1526250527","https://openalex.org/W1528676759","https://openalex.org/W1560400919","https://openalex.org/W1575989700","https://openalex.org/W1579344322","https://openalex.org/W1818203573","https://openalex.org/W1975145391","https://openalex.org/W1978260564","https://openalex.org/W2012552037","https://openalex.org/W2018696792","https://openalex.org/W2030129051","https://openalex.org/W2040317239","https://openalex.org/W2043087553","https://openalex.org/W2052742498","https://openalex.org/W2054129049","https://openalex.org/W2060258005","https://openalex.org/W2067050450","https://openalex.org/W2073875457","https://openalex.org/W2096445376","https://openalex.org/W2097540415","https://openalex.org/W2097568888","https://openalex.org/W2104602264","https://openalex.org/W2104899888","https://openalex.org/W2109100253","https://openalex.org/W2118480861","https://openalex.org/W2118929276","https://openalex.org/W2120327309","https://openalex.org/W2120846115","https://openalex.org/W2121180068","https://openalex.org/W2126776273","https://openalex.org/W2133096155","https://openalex.org/W2140790422","https://openalex.org/W2145297839","https://openalex.org/W2169359757","https://openalex.org/W2226396244","https://openalex.org/W2312609093","https://openalex.org/W2329008018","https://openalex.org/W2744322548","https://openalex.org/W2752885492","https://openalex.org/W2768978272","https://openalex.org/W2914699946","https://openalex.org/W3023539457","https://openalex.org/W3121237707","https://openalex.org/W3133100264"],"related_works":["https://openalex.org/W7097453149","https://openalex.org/W2118985797","https://openalex.org/W7097063937","https://openalex.org/W7099448204","https://openalex.org/W1487230097","https://openalex.org/W2246980663","https://openalex.org/W7100611786","https://openalex.org/W7096206330","https://openalex.org/W7097159600","https://openalex.org/W7098098698"],"abstract_inverted_index":{"This":[0,63,130],"thesis":[1,64,131,184],"studies":[2],"a":[3,16,35,43,96,124,133,226,232],"class":[4],"of":[5,87,123,127,138,146,166,196,231],"problems":[6],"where":[7,149],"rational":[8,47],"agents":[9,48,72,151,187,216],"can":[10,39,73,188],"make":[11],"suboptimal":[12],"decisions":[13],"by":[14,143,192],"ignoring":[15],"side":[17],"effect":[18],"that":[19,34,54,69,119,213,243],"each":[20],"individual":[21],"action":[22],"brings":[23],"to":[24,75,77,92,163,218],"bear":[25],"on":[26,79,180],"the":[27,50,58,84,120,144,169,194,214,240],"common":[28],"good.":[29],"It":[30],"is":[31,116,141,239],"generally":[32,117],"believed":[33],"mutually":[36,80],"desirable":[37],"strategy":[38,59,107],"be":[40,61],"enforced":[41],"as":[42,103,221],"stable":[44],"outcome":[45],"for":[46],"if":[49,222],"imminent":[51],"threat":[52],"exists":[53],"any":[55],"deviator":[56],"from":[57,201],"will":[60],"punished.":[62],"expands":[65],"this":[66,94,139,181,183,245],"understanding,":[67],"arguing":[68],"rationally":[70,220],"bounded":[147],"learn":[74,217],"self-organize":[76],"stabilize":[78],"beneficial":[81],"outcomes":[82],"without":[83],"explicit":[85],"notion":[86,195],"threat.":[88],"As":[89],"an":[90,205],"approach":[91],"demonstrate":[93],"capability,":[95],"double-layered":[97],"multiagent":[98],"learning":[99,198,200],"algorithm,":[100],"known":[101],"here":[102],"IMPRES":[104,215,238],"(implicit":[105],"reciprocal":[106],"learning),":[108],"has":[109],"been":[110],"developed.":[111],"\r\nIn":[112],"game":[113,125],"theory,":[114],"it":[115],"assumed":[118],"players":[121,253],"(agents)":[122],"are":[126,161,224],"equal":[128],"ability.":[129],"takes":[132],"contrasting":[134],"view.":[135],"The":[136],"foundation":[137],"work":[140],"inspired":[142],"concept":[145],"rationality,":[148],"some":[150],"may":[152],"have":[153,175],"more":[154,250],"privileges":[155],"than":[156,251],"others":[157],"either":[158],"because":[159,172],"they":[160,173,223],"exposed":[162],"different":[164],"parts":[165],"information":[167],"in":[168,204,225,247],"environment,":[170],"or":[171],"simply":[174],"higher":[176],"computational":[177],"power.":[178],"Based":[179],"intuition,":[182],"investigates":[185],"how":[186],"boost":[189],"their":[190],"performance":[191],"utilizing":[193],"social":[197],"-":[199],"one":[202],"another":[203],"agent":[206],"society.":[207],"\r\nTheoretical":[208],"and":[209],"empirical":[210],"results":[211],"show":[212],"behave":[219],"virtually":[227],"optimal":[228],"Nash":[229],"equilibrium":[230],"repeated":[233],"game.":[234],"To":[235],"my":[236],"knowledge,":[237],"first":[241],"algorithm":[242],"achieves":[244],"property":[246],"games":[248],"involving":[249],"two":[252],"under":[254],"imperfect":[255],"monitoring.":[256]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-10-12T09:40:04.860316","created_date":"2016-06-24T00:00:00"}
