{"id":"https://openalex.org/W2947675438","doi":"https://doi.org/10.24963/ijcai.2019/67","title":"Computational Aspects of Equilibria in Discrete Preference Games","display_name":"Computational Aspects of Equilibria in Discrete Preference Games","publication_year":2019,"publication_date":"2019-07-28","ids":{"openalex":"https://openalex.org/W2947675438","doi":"https://doi.org/10.24963/ijcai.2019/67","mag":"2947675438"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2019/67","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/67","pdf_url":"https://www.ijcai.org/proceedings/2019/0067.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2019/0067.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020775093","display_name":"Phani Raj Lolakapuri","orcid":null},"institutions":[{"id":"https://openalex.org/I11947397","display_name":"Tata Institute of Fundamental Research","ror":"https://ror.org/03ht1xw27","country_code":"IN","type":"education","lineage":["https://openalex.org/I11947397","https://openalex.org/I2799351866","https://openalex.org/I3149292468"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Phani Raj Lolakapuri","raw_affiliation_strings":["TIFR Mumbai, India","TIFR, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"TIFR Mumbai, India","institution_ids":["https://openalex.org/I11947397"]},{"raw_affiliation_string":"TIFR, Mumbai, India","institution_ids":["https://openalex.org/I11947397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003054080","display_name":"Umang Bhaskar","orcid":null},"institutions":[{"id":"https://openalex.org/I11947397","display_name":"Tata Institute of Fundamental Research","ror":"https://ror.org/03ht1xw27","country_code":"IN","type":"education","lineage":["https://openalex.org/I11947397","https://openalex.org/I2799351866","https://openalex.org/I3149292468"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Umang Bhaskar","raw_affiliation_strings":["TIFR Mumbai, India","TIFR, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"TIFR Mumbai, India","institution_ids":["https://openalex.org/I11947397"]},{"raw_affiliation_string":"TIFR, Mumbai, India","institution_ids":["https://openalex.org/I11947397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071999741","display_name":"Ramasuri Narayanam","orcid":"https://orcid.org/0000-0003-3289-3950"},"institutions":[{"id":"https://openalex.org/I4210103279","display_name":"IBM Research - India","ror":"https://ror.org/014wt7r80","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210103279","https://openalex.org/I4210114115"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ramasuri Narayanam","raw_affiliation_strings":["IBM Research, India","IBM"],"affiliations":[{"raw_affiliation_string":"IBM Research, India","institution_ids":["https://openalex.org/I4210103279"]},{"raw_affiliation_string":"IBM","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077151520","display_name":"Gyana R. Parija","orcid":null},"institutions":[{"id":"https://openalex.org/I4210103279","display_name":"IBM Research - India","ror":"https://ror.org/014wt7r80","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210103279","https://openalex.org/I4210114115"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Gyana R Parija","raw_affiliation_strings":["IBM Research, India","IBM"],"affiliations":[{"raw_affiliation_string":"IBM Research, India","institution_ids":["https://openalex.org/I4210103279"]},{"raw_affiliation_string":"IBM","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112439933","display_name":"Pankaj Dayama","orcid":null},"institutions":[{"id":"https://openalex.org/I4210103279","display_name":"IBM Research - India","ror":"https://ror.org/014wt7r80","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210103279","https://openalex.org/I4210114115"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pankaj S Dayama","raw_affiliation_strings":["IBM Research, India","IBM"],"affiliations":[{"raw_affiliation_string":"IBM Research, India","institution_ids":["https://openalex.org/I4210103279"]},{"raw_affiliation_string":"IBM","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5020775093"],"corresponding_institution_ids":["https://openalex.org/I11947397"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05864104,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"471","last_page":"477"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11031","display_name":"Game Theory and Applications","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9977999925613403,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9900000095367432,"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/nash-equilibrium","display_name":"Nash equilibrium","score":0.7003829479217529},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5951573252677917},{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.5761256217956543},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.570939302444458},{"id":"https://openalex.org/keywords/metric-space","display_name":"Metric space","score":0.5636467933654785},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.5394635200500488},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5135272145271301},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.48736411333084106},{"id":"https://openalex.org/keywords/best-response","display_name":"Best response","score":0.4595564603805542},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.45402365922927856},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.43163004517555237},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4316272437572479},{"id":"https://openalex.org/keywords/discrete-space","display_name":"Discrete space","score":0.41343599557876587},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.357334703207016},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3544573187828064},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.24420282244682312},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12833574414253235},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09516444802284241},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.09342604875564575}],"concepts":[{"id":"https://openalex.org/C46814582","wikidata":"https://www.wikidata.org/wiki/Q23389","display_name":"Nash equilibrium","level":2,"score":0.7003829479217529},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5951573252677917},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.5761256217956543},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.570939302444458},{"id":"https://openalex.org/C198043062","wikidata":"https://www.wikidata.org/wiki/Q180953","display_name":"Metric space","level":2,"score":0.5636467933654785},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.5394635200500488},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5135272145271301},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.48736411333084106},{"id":"https://openalex.org/C32407928","wikidata":"https://www.wikidata.org/wiki/Q2733833","display_name":"Best response","level":3,"score":0.4595564603805542},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.45402365922927856},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.43163004517555237},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4316272437572479},{"id":"https://openalex.org/C153782549","wikidata":"https://www.wikidata.org/wiki/Q175116","display_name":"Discrete space","level":2,"score":0.41343599557876587},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.357334703207016},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3544573187828064},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.24420282244682312},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12833574414253235},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09516444802284241},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.09342604875564575},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.24963/ijcai.2019/67","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/67","pdf_url":"https://www.ijcai.org/proceedings/2019/0067.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1905.11680","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1905.11680","pdf_url":"https://arxiv.org/pdf/1905.11680","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2947675438","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1905.11680.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1905.11680","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1905.11680","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2019/67","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/67","pdf_url":"https://www.ijcai.org/proceedings/2019/0067.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320715","display_name":"Tata Institute of Fundamental Research","ror":"https://ror.org/03ht1xw27"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2947675438.pdf","grobid_xml":"https://content.openalex.org/works/W2947675438.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W2008620264","https://openalex.org/W2034235887","https://openalex.org/W2034586501","https://openalex.org/W2042123098","https://openalex.org/W2044667552","https://openalex.org/W2112090702","https://openalex.org/W2143516773","https://openalex.org/W2949820635","https://openalex.org/W2950984039","https://openalex.org/W2964677841","https://openalex.org/W3022273187","https://openalex.org/W3152027851"],"related_works":["https://openalex.org/W2104704302","https://openalex.org/W2952792115","https://openalex.org/W1503145443","https://openalex.org/W2055563961","https://openalex.org/W2996759870","https://openalex.org/W2951592605","https://openalex.org/W1523016093","https://openalex.org/W2889456677","https://openalex.org/W2260025217","https://openalex.org/W1554418245","https://openalex.org/W2139787943","https://openalex.org/W2114513404","https://openalex.org/W2111060621","https://openalex.org/W3176003692","https://openalex.org/W3138175020","https://openalex.org/W2112237391","https://openalex.org/W3114689287","https://openalex.org/W2951002785","https://openalex.org/W2501059013","https://openalex.org/W2923977588"],"abstract_inverted_index":{"We":[0,118],"study":[1],"the":[2,48,72,108,133,146,149,155,169,188,203,210,219,225],"complexity":[3],"of":[4,80,98,104,143,167,178,221],"equilibrium":[5,123,197,226],"computation":[6,124],"in":[7,29,121,125,132,148,230],"discrete":[8,40,126],"preference":[9,127],"games.":[10],"These":[11,82],"games":[12,83,128],"were":[13],"introduced":[14],"by":[15,27],"Chierichetti,":[16],"Kleinberg,":[17],"and":[18,50,76,87,113,175],"Oren":[19],"(EC":[20],"'13,":[21],"JCSS":[22],"'18)":[23],"to":[24,53,60],"model":[25],"decision-making":[26],"agents":[28,73],"a":[30,35,38,55,68,77,96,116,140,164,214],"social":[31,69,109,150,189],"network":[32,70,151,190],"that":[33,57,120,208],"choose":[34,54],"strategy":[36,56],"from":[37],"finite,":[39],"set,":[41],"balancing":[42],"between":[43],"their":[44,51,61,94],"intrinsic":[45],"preferences":[46],"for":[47],"strategies":[49,179],"desire":[52],"is":[58,129,157,180,191,213,218],"`similar'":[59],"neighbours.":[62,144],"There":[63],"are":[64,84,152],"thus":[65],"two":[66],"components:":[67],"with":[71],"as":[74],"vertices,":[75],"metric":[78,170,211],"space":[79,171,212],"strategies.":[81],"potential":[85],"games,":[86],"hence":[88],"pure":[89],"Nash":[90],"equilibria":[91],"exist.":[92,201],"Since":[93],"introduction,":[95],"number":[97,142,166],"papers":[99],"have":[100],"studied":[101],"various":[102],"aspects":[103],"this":[105],"model,":[106],"including":[107],"cost":[110],"at":[111,115,181],"equilibria,":[112],"arrival":[114],"consensus.":[117],"show":[119,207],"general,":[122],"PLS-complete,":[130],"even":[131,159,200],"simple":[134],"case":[135],"where":[136],"each":[137,161],"agent":[138,162],"has":[139,163,172],"constant":[141,165,173],"If":[145],"edges":[147],"weighted,":[153],"then":[154,224],"problem":[156],"PLS-complete":[158],"if":[160,187,209],"neighbours,":[168],"size,":[174],"every":[176],"pair":[177],"distance":[182],"1":[183],"or":[184,217],"2.":[185],"Further,":[186],"directed,":[192],"modelling":[193],"asymmetric":[194],"influence,":[195],"an":[196],"may":[198],"not":[199],"On":[202],"positive":[204],"side,":[205],"we":[206],"tree":[215],"metric,":[216],"product":[220],"path":[222],"metrics,":[223],"can":[227],"be":[228],"computed":[229],"polynomial":[231],"time.":[232]},"counts_by_year":[],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}