{"id":"https://openalex.org/W3099170776","doi":"https://doi.org/10.3233/978-1-61499-672-9-787","title":"Welfare of Sequential Allocation Mechanisms for Indivisible Goods","display_name":"Welfare of Sequential Allocation Mechanisms for Indivisible Goods","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W3099170776","doi":"https://doi.org/10.3233/978-1-61499-672-9-787","mag":"3099170776"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-672-9-787","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-672-9-787","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","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/A5044987618","display_name":"Haris Aziz","orcid":"https://orcid.org/0000-0001-9757-4956"},"institutions":[{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Aziz Haris","raw_affiliation_strings":["Data61, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Data61, Sydney, Australia","institution_ids":["https://openalex.org/I42894916"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065831321","display_name":"Thomas Kalinowski","orcid":"https://orcid.org/0000-0002-8444-6848"},"institutions":[{"id":"https://openalex.org/I78757542","display_name":"University of Newcastle Australia","ror":"https://ror.org/00eae9z71","country_code":"AU","type":"education","lineage":["https://openalex.org/I78757542"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Kalinowski Thomas","raw_affiliation_strings":["University of Newcastle Australia, Newcastle, Australia"],"affiliations":[{"raw_affiliation_string":"University of Newcastle Australia, Newcastle, Australia","institution_ids":["https://openalex.org/I78757542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072902302","display_name":"Toby Walsh","orcid":"https://orcid.org/0000-0003-2998-8668"},"institutions":[{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Walsh Toby","raw_affiliation_strings":["Data61, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Data61, Sydney, Australia","institution_ids":["https://openalex.org/I42894916"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089639500","display_name":"Lirong Xia","orcid":"https://orcid.org/0000-0002-9800-6691"},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xia Lirong","raw_affiliation_strings":["Rensselaer Polytechnic Institute, Troy, United States"],"affiliations":[{"raw_affiliation_string":"Rensselaer Polytechnic Institute, Troy, United States","institution_ids":["https://openalex.org/I165799507"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5044987618"],"corresponding_institution_ids":["https://openalex.org/I42894916"],"apc_list":null,"apc_paid":null,"fwci":2.2247,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.90392157,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"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/T11182","display_name":"Auction Theory and Applications","score":0.9976000189781189,"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":0.9976000189781189,"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/T12137","display_name":"Economic theories and models","score":0.9943000078201294,"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/T10991","display_name":"Game Theory and Voting Systems","score":0.9932000041007996,"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/welfare","display_name":"Welfare","score":0.694989800453186},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.393002986907959},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.3820887804031372},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.35448259115219116},{"id":"https://openalex.org/keywords/market-economy","display_name":"Market economy","score":0.08387374877929688}],"concepts":[{"id":"https://openalex.org/C100243477","wikidata":"https://www.wikidata.org/wiki/Q12002092","display_name":"Welfare","level":2,"score":0.694989800453186},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.393002986907959},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.3820887804031372},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.35448259115219116},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.08387374877929688}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/978-1-61499-672-9-787","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-672-9-787","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W156750704","https://openalex.org/W260780082","https://openalex.org/W1482334512","https://openalex.org/W1511472641","https://openalex.org/W1956275701","https://openalex.org/W1968141842","https://openalex.org/W2025974292","https://openalex.org/W2189250619","https://openalex.org/W2216731131","https://openalex.org/W2254855855","https://openalex.org/W2395593938","https://openalex.org/W2406383149","https://openalex.org/W2951943778","https://openalex.org/W3124371033","https://openalex.org/W4362223083"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4391375266","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Sequential":[0,39],"allocation":[1,10,40,44,61,89],"is":[2,46,101,173],"a":[3,16,30,134,143,174],"simple":[4,95],"and":[5,80,122,162],"attractive":[6],"mechanism":[7],"for":[8],"the":[9,32,65,69,75,78,81,84,107,113,140,152,179,183,187],"of":[11,18,83,109,151,186],"indivisible":[12],"goods":[13],"used":[14],"in":[15,34,138],"number":[17],"real":[19],"world":[20],"settings.":[21],"In":[22,169],"sequential":[23,60,88],"allocation,":[24],"agents":[25,36],"pick":[26],"items":[27],"according":[28],"to":[29,119,128,145,159],"policy,":[31],"order":[33],"which":[35,45,139],"take":[37],"turns.":[38],"will":[41],"return":[42,64],"an":[43],"Pareto":[47],"efficient":[48],"&amp;ndash;":[49],"no":[50],"agent":[51],"can":[52,181],"do":[53],"better":[54],"without":[55],"others":[56],"doing":[57],"worse.":[58],"However,":[59],"may":[62],"not":[63],"outcome":[66],"that":[67,178],"optimizes":[68],"social":[70,147,184],"welfare.":[71,148],"We":[72,91,131],"consider":[73,133],"therefore":[74],"relationship":[76],"between":[77],"welfare":[79,100,185],"efficiency":[82],"allocations":[85],"returned":[86],"by":[87],"mechanisms.":[90],"then":[92],"study":[93,116,156],"some":[94],"computational":[96],"questions":[97],"about":[98],"what":[99],"possible":[102],"or":[103],"necessary":[104],"depending":[105],"on":[106],"choice":[108],"policy.":[110],"Over":[111],"half":[112],"problems":[114,154],"we":[115,123,155],"turn":[117,157],"out":[118,158],"be":[120,160],"tractable,":[121,161],"give":[124,165],"polynomial":[125,166],"time":[126,167],"algorithms":[127],"compute":[129],"them.":[130],"also":[132],"novel":[135],"control":[136,153],"problem":[137],"Chair":[141,180],"chooses":[142],"policy":[144],"improve":[146,182],"Again,":[149],"many":[150],"our":[163],"results":[164],"algorithms.":[168],"this":[170],"case,":[171],"tractability":[172],"good":[175],"thing":[176],"so":[177],"allocation.":[188]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
