{"id":"https://openalex.org/W2786774752","doi":"https://doi.org/10.3386/w24282","title":"How Artificial Intelligence and Machine Learning Can Impact Market Design","display_name":"How Artificial Intelligence and Machine Learning Can Impact Market Design","publication_year":2018,"publication_date":"2018-02-01","ids":{"openalex":"https://openalex.org/W2786774752","doi":"https://doi.org/10.3386/w24282","mag":"2786774752"},"language":"en","primary_location":{"id":"doi:10.3386/w24282","doi":"https://doi.org/10.3386/w24282","is_oa":true,"landing_page_url":"https://doi.org/10.3386/w24282","pdf_url":"https://doi.org/10.3386/w24282","source":{"id":"https://openalex.org/S2809516038","display_name":"National Bureau of Economic Research","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":["https://openalex.org/P4322614461"],"host_organization_lineage_names":["National Bureau of Economic Research"],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"National Bureau of Economic Research","raw_type":"report"},"volume":null,"type":"report","is_traditional":false,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.3386/w24282","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054280613","display_name":"Paul Milgrom","orcid":"https://orcid.org/0000-0002-1919-4138","observed_orcids":["https://orcid.org/0000-0002-1919-4138"]},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paul Milgrom","raw_affiliation_strings":["Stanford University Department of Economics 579 Serra Mall Stanford , CA 94305-6072","Stanford University ()"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University Department of Economics 579 Serra Mall Stanford , CA 94305-6072","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Stanford University ()","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036721922","display_name":"Steven Tadelis","orcid":"https://orcid.org/0000-0001-8864-8052","observed_orcids":["https://orcid.org/0000-0001-8864-8052"]},"institutions":[{"id":"https://openalex.org/I1321305853","display_name":"National Bureau of Economic Research","ror":"https://ror.org/04grmx538","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1321305853"]},{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Steven Tadelis","raw_affiliation_strings":["Centre for Economic Policy Research (CEPR);  National Bureau of Economic Research (NBER); University of California, Berkeley - Haas School of Business"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Economic Policy Research (CEPR);  National Bureau of Economic Research (NBER); University of California, Berkeley - Haas School of Business","institution_ids":["https://openalex.org/I1321305853","https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":71,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T10991","display_name":"Game Theory and Voting Systems","score":0.48339998722076416,"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"}},"topics":[{"id":"https://openalex.org/T10991","display_name":"Game Theory and Voting Systems","score":0.48339998722076416,"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/T11182","display_name":"Auction Theory and Applications","score":0.3359000086784363,"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/T13904","display_name":"Artificial Intelligence Applications","score":0.05249999836087227,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"artificial intelligence","score":0.9639999866485596},{"id":"https://openalex.org/keywords/machine-learning","display_name":"machine learning","score":0.9959999918937683},{"id":"https://openalex.org/keywords/market-design","display_name":"market design","score":0.9990000128746033},{"id":"https://openalex.org/keywords/market-institutions","display_name":"market institutions","score":0.39800000190734863},{"id":"https://openalex.org/keywords/gains-from-trade","display_name":"gains from trade","score":0.8059999942779541},{"id":"https://openalex.org/keywords/market-frictions","display_name":"market frictions","score":0.5260000228881836},{"id":"https://openalex.org/keywords/market-forecast","display_name":"market forecast","score":0.4580000042915344},{"id":"https://openalex.org/keywords/transaction-characteristics","display_name":"transaction characteristics","score":0.34599998593330383}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6498006582260132},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.533189058303833},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49407699704170227},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4132993221282959}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3386/w24282","doi":"https://doi.org/10.3386/w24282","is_oa":true,"landing_page_url":"https://doi.org/10.3386/w24282","pdf_url":"https://doi.org/10.3386/w24282","source":{"id":"https://openalex.org/S2809516038","display_name":"National Bureau of Economic Research","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":["https://openalex.org/P4322614461"],"host_organization_lineage_names":["National Bureau of Economic Research"],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"National Bureau of Economic Research","raw_type":"report"}],"best_oa_location":{"id":"doi:10.3386/w24282","doi":"https://doi.org/10.3386/w24282","is_oa":true,"landing_page_url":"https://doi.org/10.3386/w24282","pdf_url":"https://doi.org/10.3386/w24282","source":{"id":"https://openalex.org/S2809516038","display_name":"National Bureau of Economic Research","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":["https://openalex.org/P4322614461"],"host_organization_lineage_names":["National Bureau of Economic Research"],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"National Bureau of Economic Research","raw_type":"report"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2786774752.pdf","grobid_xml":"https://content.openalex.org/works/W2786774752.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W60686164","https://openalex.org/W2029050771","https://openalex.org/W2034034530","https://openalex.org/W2074449447","https://openalex.org/W2098965416","https://openalex.org/W2161078173","https://openalex.org/W2337394005","https://openalex.org/W2518480943","https://openalex.org/W2625051394","https://openalex.org/W2672683147","https://openalex.org/W2732683786","https://openalex.org/W2789321586","https://openalex.org/W2904000786","https://openalex.org/W3110104016","https://openalex.org/W3122952517","https://openalex.org/W3125596464","https://openalex.org/W7048055286"],"related_works":["https://openalex.org/W2811272097","https://openalex.org/W4285162437","https://openalex.org/W7168237233","https://openalex.org/W1480502467","https://openalex.org/W2276720009","https://openalex.org/W4416085266","https://openalex.org/W1990229890","https://openalex.org/W3123997377","https://openalex.org/W7095367715","https://openalex.org/W2900572132"],"abstract_inverted_index":{"In":[0],"complex":[1],"environments,":[2],"it":[3,80],"is":[4],"challenging":[5],"to":[6,17,22,42,48,83],"learn":[7],"enough":[8],"about":[9],"the":[10,19,71],"underlying":[11],"characteristics":[12],"of":[13,63,73],"transactions":[14],"so":[15],"as":[16,34],"design":[18],"best":[20],"institutions":[21],"efficiently":[23],"generate":[24],"gains":[25],"from":[26],"trade.In":[27],"recent":[28,61],"years,":[29],"Artificial":[30,65],"Intelligence":[31,66],"has":[32],"emerged":[33],"an":[35],"important":[36,44],"tool":[37],"that":[38,52],"allows":[39],"market":[40,45,68,87],"designers":[41,69],"uncover":[43],"fundamentals,":[46],"and":[47,75,85],"better":[49],"predict":[50],"fluctuations":[51],"can":[53],"cause":[54],"friction":[55],"in":[56,78],"markets.This":[57],"paper":[58],"offers":[59],"some":[60],"examples":[62],"how":[64],"helps":[67],"improve":[70],"operations":[72],"markets,":[74],"outlines":[76],"directions":[77],"which":[79],"will":[81],"continue":[82],"shape":[84],"influence":[86],"design.":[88]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":27},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2018-02-23T00:00:00"}
