{"id":"https://openalex.org/W2212641638","doi":"https://doi.org/10.1109/eusipco.2015.7362542","title":"A computationally efficient implementation of fictitious play in a distributed setting","display_name":"A computationally efficient implementation of fictitious play in a distributed setting","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2212641638","doi":"https://doi.org/10.1109/eusipco.2015.7362542","mag":"2212641638"},"language":"en","primary_location":{"id":"doi:10.1109/eusipco.2015.7362542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eusipco.2015.7362542","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23rd European Signal Processing Conference (EUSIPCO)","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/A5089919262","display_name":"Brian Swenson","orcid":"https://orcid.org/0000-0002-1710-5584"},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]},{"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"]},{"id":"https://openalex.org/I4210090152","display_name":"Lars Research Institute","ror":"https://ror.org/00a9t7j25","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210090152"]}],"countries":["PT","US"],"is_corresponding":true,"raw_author_name":"Brian Swenson","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA","LARSyS, University of Lisbon"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"LARSyS, University of Lisbon","institution_ids":["https://openalex.org/I4210090152","https://openalex.org/I141596103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077268766","display_name":"Soummya Kar","orcid":"https://orcid.org/0000-0002-8060-5581"},"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":"Soummya Kar","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054699169","display_name":"Jo\u00e3o Xavier","orcid":"https://orcid.org/0000-0002-9669-8532"},"institutions":[{"id":"https://openalex.org/I4210090152","display_name":"Lars Research Institute","ror":"https://ror.org/00a9t7j25","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210090152"]},{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]}],"countries":["PT","US"],"is_corresponding":false,"raw_author_name":"Joao Xavier","raw_affiliation_strings":["LARSyS, University of Lisbon"],"affiliations":[{"raw_affiliation_string":"LARSyS, University of Lisbon","institution_ids":["https://openalex.org/I4210090152","https://openalex.org/I141596103"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5089919262"],"corresponding_institution_ids":["https://openalex.org/I141596103","https://openalex.org/I4210090152","https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":1.6334,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.85877666,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"1043","last_page":"1047"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11031","display_name":"Game Theory and Applications","score":0.9983000159263611,"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":0.9983000159263611,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9829999804496765,"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/T10646","display_name":"Experimental Behavioral Economics Studies","score":0.9815999865531921,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7625874280929565},{"id":"https://openalex.org/keywords/nash-equilibrium","display_name":"Nash equilibrium","score":0.6018927097320557},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5289188623428345},{"id":"https://openalex.org/keywords/distributed-algorithm","display_name":"Distributed algorithm","score":0.513302743434906},{"id":"https://openalex.org/keywords/communication-complexity","display_name":"Communication complexity","score":0.5049534440040588},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.4784988462924957},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.44969871640205383},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4480307400226593},{"id":"https://openalex.org/keywords/distributed-learning","display_name":"Distributed learning","score":0.4451538026332855},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.44295060634613037},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3485015630722046},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24350190162658691},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14486128091812134}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7625874280929565},{"id":"https://openalex.org/C46814582","wikidata":"https://www.wikidata.org/wiki/Q23389","display_name":"Nash equilibrium","level":2,"score":0.6018927097320557},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5289188623428345},{"id":"https://openalex.org/C130120984","wikidata":"https://www.wikidata.org/wiki/Q2835898","display_name":"Distributed algorithm","level":2,"score":0.513302743434906},{"id":"https://openalex.org/C179145077","wikidata":"https://www.wikidata.org/wiki/Q5154130","display_name":"Communication complexity","level":2,"score":0.5049534440040588},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.4784988462924957},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.44969871640205383},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4480307400226593},{"id":"https://openalex.org/C2779582901","wikidata":"https://www.wikidata.org/wiki/Q21013010","display_name":"Distributed learning","level":2,"score":0.4451538026332855},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.44295060634613037},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3485015630722046},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24350190162658691},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14486128091812134},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/eusipco.2015.7362542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eusipco.2015.7362542","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23rd European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W204841264","https://openalex.org/W1568108559","https://openalex.org/W1605188341","https://openalex.org/W1794006809","https://openalex.org/W1981957914","https://openalex.org/W2040308810","https://openalex.org/W2042892246","https://openalex.org/W2055537715","https://openalex.org/W2085697350","https://openalex.org/W2108207895","https://openalex.org/W2108837789","https://openalex.org/W2118247617","https://openalex.org/W2120286056","https://openalex.org/W2130743445","https://openalex.org/W2159398166","https://openalex.org/W2167957526","https://openalex.org/W2199385070","https://openalex.org/W2216069195","https://openalex.org/W2508573783","https://openalex.org/W2810102121","https://openalex.org/W3022321359","https://openalex.org/W3104550706","https://openalex.org/W3148958427","https://openalex.org/W4285719527","https://openalex.org/W6608261412"],"related_works":["https://openalex.org/W2914286174","https://openalex.org/W2316903755","https://openalex.org/W4289542303","https://openalex.org/W2799640661","https://openalex.org/W2551103479","https://openalex.org/W2151520847","https://openalex.org/W2945507199","https://openalex.org/W4380875778","https://openalex.org/W119245487","https://openalex.org/W3200800229"],"abstract_inverted_index":{"The":[0,17],"paper":[1],"deals":[2],"with":[3,11],"distributed":[4,75],"learning":[5],"of":[6,15,39,54,86],"Nash":[7],"equilibria":[8],"in":[9,25,72,77],"games":[10,27],"a":[12,55,73,92,104],"large":[13,26],"number":[14],"players.":[16],"classical":[18],"fictitious":[19],"play":[20],"(FP)":[21],"algorithm":[22,71],"is":[23,41,50,81],"impractical":[24],"due":[28],"to":[29,45,83],"demanding":[30],"communication":[31,64,80,98],"requirements":[32],"and":[33],"high":[34],"computational":[35],"complexity.":[36],"A":[37],"variant":[38],"FP":[40],"presented":[42],"that":[43],"aims":[44],"mitigate":[46],"both":[47],"issues.":[48],"Complexity":[49],"mitigated":[51,67],"by":[52,68,91],"use":[53],"computationally":[56],"efficient":[57],"Monte-Carlo":[58],"based":[59],"best":[60],"response":[61],"rule.":[62],"Demanding":[63],"problems":[65],"are":[66,101],"implementing":[69],"the":[70],"network-based":[74],"setting,":[76],"which":[78],"player-to-player":[79],"restricted":[82],"local":[84],"subsets":[85],"neighboring":[87],"players":[88],"as":[89],"determined":[90],"(possibly":[93],"sparse,":[94],"but":[95],"connected)":[96],"preassigned":[97],"graph.":[99],"Results":[100],"demonstrated":[102],"via":[103],"simulation":[105],"example.":[106]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
