{"id":"https://openalex.org/W7138209603","doi":"https://doi.org/10.1609/aaai.v40i20.38770","title":"Shapley Value Approximation Based on k-Additive Games","display_name":"Shapley Value Approximation Based on k-Additive Games","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7138209603","doi":"https://doi.org/10.1609/aaai.v40i20.38770"},"language":null,"primary_location":{"id":"doi:10.1609/aaai.v40i20.38770","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i20.38770","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1609/aaai.v40i20.38770","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040377739","display_name":"Guilherme Dean Pelegrina","orcid":"https://orcid.org/0000-0001-7301-6167"},"institutions":[{"id":"https://openalex.org/I18167132","display_name":"Universidade Presbiteriana Mackenzie","ror":"https://ror.org/006nc8n95","country_code":"BR","type":"education","lineage":["https://openalex.org/I18167132"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Guilherme Dean Pelegrina","raw_affiliation_strings":["Mackenzie Presbyterian University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mackenzie Presbyterian University","institution_ids":["https://openalex.org/I18167132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014499598","display_name":"Patrick Kolpaczki","orcid":"https://orcid.org/0000-0002-7807-8460"},"institutions":[{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Patrick Kolpaczki","raw_affiliation_strings":["Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen\nMunich Center for Machine Learning (MCML)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen\nMunich Center for Machine Learning (MCML)","institution_ids":["https://openalex.org/I8204097"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5129686393","display_name":"Eyke H\u00fcllermeier","orcid":null},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]},{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Eyke H\u00fcllermeier","raw_affiliation_strings":["Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen\nMunich Center for Machine Learning (MCML)\nGerman Research Center for Artificial Intelligence (DFKI, DSA)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen\nMunich Center for Machine Learning (MCML)\nGerman Research Center for Artificial Intelligence (DFKI, DSA)","institution_ids":["https://openalex.org/I8204097","https://openalex.org/I33256026"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.35294118,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"20","first_page":"17197","last_page":"17205"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10991","display_name":"Game Theory and Voting Systems","score":0.5414999723434448,"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":0.5414999723434448,"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.3212999999523163,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.019300000742077827,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/shapley-value","display_name":"Shapley value","score":0.8701000213623047},{"id":"https://openalex.org/keywords/axiom","display_name":"Axiom","score":0.7290999889373779},{"id":"https://openalex.org/keywords/division","display_name":"Division (mathematics)","score":0.6126000285148621},{"id":"https://openalex.org/keywords/fair-division","display_name":"Fair division","score":0.5320000052452087},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.46149998903274536},{"id":"https://openalex.org/keywords/axiomatic-system","display_name":"Axiomatic system","score":0.3955000042915344}],"concepts":[{"id":"https://openalex.org/C199022921","wikidata":"https://www.wikidata.org/wiki/Q240046","display_name":"Shapley value","level":3,"score":0.8701000213623047},{"id":"https://openalex.org/C167729594","wikidata":"https://www.wikidata.org/wiki/Q17736","display_name":"Axiom","level":2,"score":0.7290999889373779},{"id":"https://openalex.org/C60798267","wikidata":"https://www.wikidata.org/wiki/Q1226939","display_name":"Division (mathematics)","level":2,"score":0.6126000285148621},{"id":"https://openalex.org/C184659173","wikidata":"https://www.wikidata.org/wiki/Q1511081","display_name":"Fair division","level":2,"score":0.5320000052452087},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5121999979019165},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.46149998903274536},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4535999894142151},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.4025999903678894},{"id":"https://openalex.org/C125773388","wikidata":"https://www.wikidata.org/wiki/Q792542","display_name":"Axiomatic system","level":3,"score":0.3955000042915344},{"id":"https://openalex.org/C2781416736","wikidata":"https://www.wikidata.org/wiki/Q105354050","display_name":"Cooperative game theory","level":3,"score":0.3564999997615814},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3499000072479248},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.3073999881744385},{"id":"https://openalex.org/C88548561","wikidata":"https://www.wikidata.org/wiki/Q347599","display_name":"sort","level":2,"score":0.29190000891685486},{"id":"https://openalex.org/C21080849","wikidata":"https://www.wikidata.org/wiki/Q13611879","display_name":"Data point","level":2,"score":0.27619999647140503},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.2542000114917755},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.25220000743865967}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v40i20.38770","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i20.38770","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i20.38770","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i20.38770","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,135],"Shapley":[1,34,66,116],"value":[2,35,67],"is":[3,15,140],"the":[4,27,33,45,54,65,77,114,119,130],"prevalent":[5],"solution":[6],"for":[7,87,129],"fair":[8,30,132],"division":[9,31,133],"problems":[10],"in":[11,40],"which":[12],"a":[13,24,57,70,94,100],"payout":[14],"to":[16,43,53,112,145],"be":[17,38],"divided":[18],"among":[19],"multiple":[20],"agents.":[21],"By":[22,104],"adopting":[23],"game-theoretic":[25],"view,":[26],"idea":[28],"of":[29,48,56,79,107,118,137],"and":[32,62,82,122,143],"can":[36],"also":[37],"used":[39],"machine":[41],"learning":[42],"quantify":[44],"individual":[46],"contribution":[47],"features":[49],"or":[50],"data":[51],"points":[52],"performance":[55],"predictive":[58],"model.Despite":[59],"its":[60,88],"popularity":[61],"axiomatic":[63],"justification,":[64],"suffers":[68],"from":[69],"computational":[71],"complexity":[72],"that":[73,98],"scales":[74],"exponentially":[75],"with":[76],"number":[78],"entities":[80],"involved,":[81],"hence":[83],"requires":[84],"approximation":[85,96],"methods":[86],"reliable":[89],"estimation.":[90],"We":[91],"propose":[92],"SVAkADD,":[93],"novel":[95],"method":[97,139],"fits":[99],"k-additive":[101],"surrogate":[102,120],"game.":[103],"taking":[105],"advantage":[106],"k-additivity,":[108],"we":[109],"are":[110],"able":[111],"elicit":[113],"exact":[115],"values":[117,126],"game":[121],"then":[123],"use":[124],"these":[125],"as":[127],"estimates":[128],"original":[131],"problem.":[134],"efficacy":[136],"our":[138],"evaluated":[141],"empirically":[142],"compared":[144],"competing":[146],"methods.":[147]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-18T00:00:00"}