{"id":"https://openalex.org/W2029376186","doi":"https://doi.org/10.1145/2764468.2764486","title":"Algorithms as Mechanisms","display_name":"Algorithms as Mechanisms","publication_year":2015,"publication_date":"2015-06-12","ids":{"openalex":"https://openalex.org/W2029376186","doi":"https://doi.org/10.1145/2764468.2764486","mag":"2029376186"},"language":"en","primary_location":{"id":"doi:10.1145/2764468.2764486","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2764468.2764486","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Sixteenth ACM Conference on Economics and Computation","raw_type":"proceedings-article"},"type":"conference-paper","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/A5112613441","display_name":"Paul D\u00fctting","orcid":null},"institutions":[{"id":"https://openalex.org/I909854389","display_name":"London School of Economics and Political Science","ror":"https://ror.org/0090zs177","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I909854389"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Paul D\u00fctting","raw_affiliation_strings":["London School of Economics, London, United Kingdom","London School of Economics , London , United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"London School of Economics, London, United Kingdom","institution_ids":["https://openalex.org/I909854389"]},{"raw_affiliation_string":"London School of Economics , London , United Kingdom","institution_ids":["https://openalex.org/I909854389"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011165333","display_name":"Thomas Ke\u00dfelheim","orcid":"https://orcid.org/0000-0002-9420-9424"},"institutions":[{"id":"https://openalex.org/I4210109712","display_name":"Max Planck Institute for Informatics","ror":"https://ror.org/01w19ak89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210109712"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Kesselheim","raw_affiliation_strings":["Max-Planck-Institut f\u00fcr Informatik, Saarbr\u00fccken, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Max-Planck-Institut f\u00fcr Informatik, Saarbr\u00fccken, Germany","institution_ids":["https://openalex.org/I4210109712"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025175846","display_name":"\u00c9va Tardos","orcid":"https://orcid.org/0000-0002-2978-1475"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eva Tardos","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8709,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.83991315,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"21","issue":null,"first_page":"187","last_page":"201"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T10991","display_name":"Game Theory and Voting Systems","score":0.9940999746322632,"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"}},{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9898999929428101,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/rounding","display_name":"Rounding","score":0.8439522981643677},{"id":"https://openalex.org/keywords/price-of-anarchy","display_name":"Price of anarchy","score":0.8375471830368042},{"id":"https://openalex.org/keywords/relaxation","display_name":"Relaxation (psychology)","score":0.5918582677841187},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5894498229026794},{"id":"https://openalex.org/keywords/price-of-stability","display_name":"Price of stability","score":0.5481333136558533},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5370005965232849},{"id":"https://openalex.org/keywords/approximation-algorithm","display_name":"Approximation algorithm","score":0.5116158127784729},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.4750673472881317},{"id":"https://openalex.org/keywords/incentive","display_name":"Incentive","score":0.4742625951766968},{"id":"https://openalex.org/keywords/algorithmic-game-theory","display_name":"Algorithmic game theory","score":0.4555150866508484},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.45494580268859863},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.44474586844444275},{"id":"https://openalex.org/keywords/connection","display_name":"Connection (principal bundle)","score":0.43926459550857544},{"id":"https://openalex.org/keywords/mechanism-design","display_name":"Mechanism design","score":0.41343021392822266},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3113158345222473},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.29879963397979736},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.21215471625328064},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.19209274649620056},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.106050044298172},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.10292854905128479},{"id":"https://openalex.org/keywords/repeated-game","display_name":"Repeated game","score":0.08194741606712341}],"concepts":[{"id":"https://openalex.org/C136625980","wikidata":"https://www.wikidata.org/wiki/Q663208","display_name":"Rounding","level":2,"score":0.8439522981643677},{"id":"https://openalex.org/C82149807","wikidata":"https://www.wikidata.org/wiki/Q7242623","display_name":"Price of anarchy","level":4,"score":0.8375471830368042},{"id":"https://openalex.org/C2776029896","wikidata":"https://www.wikidata.org/wiki/Q3935810","display_name":"Relaxation (psychology)","level":2,"score":0.5918582677841187},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5894498229026794},{"id":"https://openalex.org/C188466206","wikidata":"https://www.wikidata.org/wiki/Q7242626","display_name":"Price of stability","level":3,"score":0.5481333136558533},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5370005965232849},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.5116158127784729},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.4750673472881317},{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.4742625951766968},{"id":"https://openalex.org/C69663246","wikidata":"https://www.wikidata.org/wiki/Q623221","display_name":"Algorithmic game theory","level":4,"score":0.4555150866508484},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.45494580268859863},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.44474586844444275},{"id":"https://openalex.org/C13355873","wikidata":"https://www.wikidata.org/wiki/Q2920850","display_name":"Connection (principal bundle)","level":2,"score":0.43926459550857544},{"id":"https://openalex.org/C153517567","wikidata":"https://www.wikidata.org/wiki/Q26090","display_name":"Mechanism design","level":2,"score":0.41343021392822266},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3113158345222473},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29879963397979736},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.21215471625328064},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.19209274649620056},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.106050044298172},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.10292854905128479},{"id":"https://openalex.org/C202556891","wikidata":"https://www.wikidata.org/wiki/Q1584646","display_name":"Repeated game","level":3,"score":0.08194741606712341},{"id":"https://openalex.org/C126285488","wikidata":"https://www.wikidata.org/wiki/Q178476","display_name":"Monetary policy","level":2,"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/C556758197","wikidata":"https://www.wikidata.org/wiki/Q580018","display_name":"Monetary economics","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2764468.2764486","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2764468.2764486","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Sixteenth ACM Conference on Economics and Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4295748655","display_name":"AF: Large: Networks, Learning and Markets with Strategic Agents","funder_award_id":"0910940","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W95009287","https://openalex.org/W1489333206","https://openalex.org/W1591562949","https://openalex.org/W1809731507","https://openalex.org/W1968100476","https://openalex.org/W1976086105","https://openalex.org/W1980340461","https://openalex.org/W1982492546","https://openalex.org/W1991223607","https://openalex.org/W2019385392","https://openalex.org/W2022191808","https://openalex.org/W2030208840","https://openalex.org/W2052719152","https://openalex.org/W2061549692","https://openalex.org/W2066298059","https://openalex.org/W2077121235","https://openalex.org/W2093393935","https://openalex.org/W2095206799","https://openalex.org/W2103751307","https://openalex.org/W2113212473","https://openalex.org/W2113939008","https://openalex.org/W2115276154","https://openalex.org/W2130200244","https://openalex.org/W2133243407","https://openalex.org/W2136124238","https://openalex.org/W2139692878","https://openalex.org/W2141502056","https://openalex.org/W2141733661","https://openalex.org/W2169319812","https://openalex.org/W2172285784","https://openalex.org/W2408001282","https://openalex.org/W2611804663","https://openalex.org/W2891591616","https://openalex.org/W2912794399","https://openalex.org/W2951959943","https://openalex.org/W2953389549","https://openalex.org/W2962711478","https://openalex.org/W2973637513","https://openalex.org/W3011766368","https://openalex.org/W3124727707","https://openalex.org/W4255122955","https://openalex.org/W4299545573","https://openalex.org/W4300550233"],"related_works":["https://openalex.org/W2124332176","https://openalex.org/W2022890659","https://openalex.org/W2149507811","https://openalex.org/W4394648935","https://openalex.org/W3043342004","https://openalex.org/W2100862433","https://openalex.org/W2735613141","https://openalex.org/W197281699","https://openalex.org/W2802952317","https://openalex.org/W1498627678"],"abstract_inverted_index":{"Many":[0],"algorithms,":[1],"that":[2,80,105,110,148,177],"are":[3,11,25,35],"originally":[4],"designed":[5],"without":[6],"explicitly":[7],"considering":[8],"incentive":[9],"properties,":[10],"later":[12],"combined":[13],"with":[14,52,66,91,115],"simple":[15,29],"pricing":[16],"rules":[17],"and":[18,28,101,159,174,182],"used":[19],"as":[20,38],"mechanisms.":[21],"The":[22,96],"resulting":[23],"mechanisms":[24,90],"often":[26],"natural":[27],"to":[30,78],"understand.":[31],"But":[32],"how":[33],"good":[34,63],"these":[36],"algorithms":[37,86,138],"mechanisms?":[39],"Truthful":[40],"reporting":[41],"of":[42,84,94,99,125,137,161,172],"valuations":[43],"is":[44,59,77,111,127,144,180,185],"typically":[45],"not":[46,51,61],"a":[47,53,62,67,81,107,116,121,142],"dominant":[48],"strategy":[49,64],"(certainly":[50],"pay-your-bid,":[54],"first-price":[55],"rule,":[56],"but":[57],"it":[58],"likely":[60],"even":[65],"critical":[68],"value,":[69],"or":[70],"second-price":[71],"style":[72],"rule":[73,119],"either).":[74],"Our":[75],"goal":[76],"show":[79],"wide":[82],"class":[83,136],"approximation":[85,153],"yields":[87,120],"this":[88,130,149],"way":[89],"low":[92],"Price":[93,124,160],"Anarchy.":[95],"seminal":[97],"result":[98,143],"Lucier":[100],"Borodin":[102],"[2010]":[103],"shows":[104],"combining":[106],"greedy":[108],"algorithm":[109,114],"an":[112],"\u03b1-approximation":[113],"pay-your-bid":[117],"payment":[118],"mechanism":[122],"whose":[123],"Anarchy":[126,162],"O(\u03b1).":[128],"In":[129],"paper":[131],"we":[132],"significantly":[133],"extend":[134],"the":[135,156,164,169,178,183],"for":[139,168],"which":[140],"such":[141],"available":[145],"by":[146],"showing":[147],"close":[150],"connection":[151],"between":[152],"ratio":[154],"on":[155,163],"one":[157],"hand":[158],"other":[165],"also":[166],"holds":[167],"design":[170],"principle":[171],"relaxation":[173,179],"rounding":[175,184],"provided":[176],"smooth":[181],"oblivious.":[186]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-10-10T00:00:00"}
