{"id":"https://openalex.org/W2054039722","doi":"https://doi.org/10.1145/1806689.1806732","title":"Bayesian algorithmic mechanism design","display_name":"Bayesian algorithmic mechanism design","publication_year":2010,"publication_date":"2010-06-05","ids":{"openalex":"https://openalex.org/W2054039722","doi":"https://doi.org/10.1145/1806689.1806732","mag":"2054039722"},"language":"en","primary_location":{"id":"doi:10.1145/1806689.1806732","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1806689.1806732","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the forty-second ACM symposium on Theory of computing","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/A5089749790","display_name":"Jason D. Hartline","orcid":"https://orcid.org/0000-0001-5505-6819"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jason D. Hartline","raw_affiliation_strings":["Northwestern University, Evanston, CA, USA","Northwestern University, Evanston, CA, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Northwestern University, Evanston, CA, USA","institution_ids":["https://openalex.org/I111979921"]},{"raw_affiliation_string":"Northwestern University, Evanston, CA, USA#TAB#","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082964830","display_name":"Brendan Lucier","orcid":"https://orcid.org/0009-0006-3497-0875"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Brendan Lucier","raw_affiliation_strings":["Toronto University, Toronto, ON, Canada","University of Toronto, Toronto, On, Canada"],"affiliations":[{"raw_affiliation_string":"Toronto University, Toronto, ON, Canada","institution_ids":[]},{"raw_affiliation_string":"University of Toronto, Toronto, On, Canada","institution_ids":["https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5089749790"],"corresponding_institution_ids":["https://openalex.org/I111979921"],"apc_list":null,"apc_paid":null,"fwci":22.1663,"has_fulltext":false,"cited_by_count":114,"citation_normalized_percentile":{"value":0.99588855,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"301","last_page":"310"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":1.0,"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/T11182","display_name":"Auction Theory and Applications","score":1.0,"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/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10991","display_name":"Game Theory and Voting Systems","score":0.9904000163078308,"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/incentive-compatibility","display_name":"Incentive compatibility","score":0.9066358804702759},{"id":"https://openalex.org/keywords/mechanism-design","display_name":"Mechanism design","score":0.7933902740478516},{"id":"https://openalex.org/keywords/incentive","display_name":"Incentive","score":0.6030176281929016},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5911961793899536},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5269525647163391},{"id":"https://openalex.org/keywords/approximation-algorithm","display_name":"Approximation algorithm","score":0.5217388868331909},{"id":"https://openalex.org/keywords/compatibility","display_name":"Compatibility (geochemistry)","score":0.5091463923454285},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.4995846748352051},{"id":"https://openalex.org/keywords/strategic-dominance","display_name":"Strategic dominance","score":0.4820076525211334},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.43957066535949707},{"id":"https://openalex.org/keywords/nash-equilibrium","display_name":"Nash equilibrium","score":0.43100711703300476},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.26616257429122925},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2532346844673157},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22054341435432434},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16536960005760193},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.1462547779083252}],"concepts":[{"id":"https://openalex.org/C91810955","wikidata":"https://www.wikidata.org/wiki/Q7731670","display_name":"Incentive compatibility","level":3,"score":0.9066358804702759},{"id":"https://openalex.org/C153517567","wikidata":"https://www.wikidata.org/wiki/Q26090","display_name":"Mechanism design","level":2,"score":0.7933902740478516},{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.6030176281929016},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5911961793899536},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5269525647163391},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.5217388868331909},{"id":"https://openalex.org/C2778648169","wikidata":"https://www.wikidata.org/wiki/Q967768","display_name":"Compatibility (geochemistry)","level":2,"score":0.5091463923454285},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.4995846748352051},{"id":"https://openalex.org/C123650614","wikidata":"https://www.wikidata.org/wiki/Q282491","display_name":"Strategic dominance","level":2,"score":0.4820076525211334},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.43957066535949707},{"id":"https://openalex.org/C46814582","wikidata":"https://www.wikidata.org/wiki/Q23389","display_name":"Nash equilibrium","level":2,"score":0.43100711703300476},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.26616257429122925},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2532346844673157},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22054341435432434},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16536960005760193},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.1462547779083252},{"id":"https://openalex.org/C17409809","wikidata":"https://www.wikidata.org/wiki/Q161764","display_name":"Geochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1806689.1806732","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1806689.1806732","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the forty-second ACM symposium on Theory of computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1489333206","https://openalex.org/W1937171020","https://openalex.org/W1964418725","https://openalex.org/W2029050771","https://openalex.org/W2062373125","https://openalex.org/W2077121235","https://openalex.org/W2077124610","https://openalex.org/W2100906370","https://openalex.org/W2103751307","https://openalex.org/W2107403260","https://openalex.org/W2108934095","https://openalex.org/W2123442845","https://openalex.org/W2126170153","https://openalex.org/W2135012080","https://openalex.org/W2138853983","https://openalex.org/W2141502056","https://openalex.org/W2142270691","https://openalex.org/W2157377553","https://openalex.org/W2294210014","https://openalex.org/W2951542914","https://openalex.org/W2951984267","https://openalex.org/W3122363969"],"related_works":["https://openalex.org/W2210581228","https://openalex.org/W2610226722","https://openalex.org/W2524244071","https://openalex.org/W3103204983","https://openalex.org/W2054039722","https://openalex.org/W2012451016","https://openalex.org/W3126002872","https://openalex.org/W2527338659","https://openalex.org/W3133924690","https://openalex.org/W4390048635"],"abstract_inverted_index":{"The":[0],"principal":[1],"problem":[2],"in":[3,8,108,113],"algorithmic":[4,19],"mechanism":[5,133],"design":[6],"is":[7,27,98],"merging":[9],"the":[10,18,30,33,49,66,83,136],"incentive":[11,38,77,88,93,106,131],"constraints":[12,20],"imposed":[13,21],"by":[14,22,29],"selfish":[15],"behavior":[16],"with":[17,134],"computational":[23,54],"intractability.":[24],"This":[25],"field":[26],"motivated":[28],"observation":[31],"that":[32,42,56,123],"preeminent":[34],"approach":[35,51,68],"for":[36,52],"designing":[37],"compatible":[39,78,132],"mechanisms,":[40],"namely":[41],"of":[43,57,65,85,105],"Vickrey,":[44],"Clarke,":[45],"and":[46,48],"Groves;":[47],"central":[50],"circumventing":[53],"obstacles,":[55],"approximation":[58,71,126,138],"algorithms,":[59],"are":[60],"fundamentally":[61],"incompatible:":[62],"natural":[63],"applications":[64],"VCG":[67],"to":[69,74,91],"an":[70,76],"algorithm":[72,127],"fails":[73],"yield":[75],"mechanism.":[79],"We":[80],"consider":[81],"relaxing":[82],"desideratum":[84],"(ex":[86],"post)":[87],"compatibility":[89,94,107],"(IC)":[90],"Bayesian":[92,130],"(BIC),":[95],"where":[96],"truthtelling":[97],"a":[99,119,129],"Bayes-Nash":[100],"equilibrium":[101],"(the":[102],"standard":[103],"notion":[104],"economics).":[109],"For":[110],"welfare":[111],"maximization":[112],"single-parameter":[114],"agent":[115],"settings,":[116],"we":[117],"give":[118],"general":[120],"black-box":[121],"reduction":[122],"turns":[124],"any":[125],"into":[128],"essentially":[135],"same":[137],"factor.":[139]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":12},{"year":2014,"cited_by_count":11},{"year":2013,"cited_by_count":24},{"year":2012,"cited_by_count":13}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}