{"id":"https://openalex.org/W4413209518","doi":"https://doi.org/10.1145/3712255.3734272","title":"Indirect Credit Without A Heuristic For Coevolving Agents","display_name":"Indirect Credit Without A Heuristic For Coevolving Agents","publication_year":2025,"publication_date":"2025-07-14","ids":{"openalex":"https://openalex.org/W4413209518","doi":"https://doi.org/10.1145/3712255.3734272"},"language":"en","primary_location":{"id":"doi:10.1145/3712255.3734272","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3712255.3734272","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3712255.3734272?download=true","source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3712255.3734272?download=true","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102724277","display_name":"Everardo Gonzalez","orcid":"https://orcid.org/0000-0003-0175-2207"},"institutions":[{"id":"https://openalex.org/I131249849","display_name":"Oregon State University","ror":"https://ror.org/00ysfqy60","country_code":"US","type":"education","lineage":["https://openalex.org/I131249849"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Everardo Gonzalez","raw_affiliation_strings":["Oregon State University, Corvallis, Oregon, USA"],"affiliations":[{"raw_affiliation_string":"Oregon State University, Corvallis, Oregon, USA","institution_ids":["https://openalex.org/I131249849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5118856128","display_name":"Raghav Thakar","orcid":null},"institutions":[{"id":"https://openalex.org/I131249849","display_name":"Oregon State University","ror":"https://ror.org/00ysfqy60","country_code":"US","type":"education","lineage":["https://openalex.org/I131249849"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raghav Thakar","raw_affiliation_strings":["Oregon State University, Corvallis, Oregon, USA"],"affiliations":[{"raw_affiliation_string":"Oregon State University, Corvallis, Oregon, USA","institution_ids":["https://openalex.org/I131249849"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084748531","display_name":"Kagan Tumer","orcid":"https://orcid.org/0009-0007-3809-7257"},"institutions":[{"id":"https://openalex.org/I131249849","display_name":"Oregon State University","ror":"https://ror.org/00ysfqy60","country_code":"US","type":"education","lineage":["https://openalex.org/I131249849"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kagan Tumer","raw_affiliation_strings":["Oregon State University, Corvallis, Oregon, USA"],"affiliations":[{"raw_affiliation_string":"Oregon State University, Corvallis, Oregon, USA","institution_ids":["https://openalex.org/I131249849"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102724277"],"corresponding_institution_ids":["https://openalex.org/I131249849"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.5659824,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"99","last_page":"100"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.9878000020980835,"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":0.9878000020980835,"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":0.9574999809265137,"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/T10127","display_name":"Banking stability, regulation, efficiency","score":0.9352999925613403,"subfield":{"id":"https://openalex.org/subfields/2003","display_name":"Finance"},"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/computer-science","display_name":"Computer science","score":0.6917973756790161},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.6227524280548096},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3215365409851074}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6917973756790161},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.6227524280548096},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3215365409851074}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3712255.3734272","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3712255.3734272","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3712255.3734272?download=true","source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3712255.3734272","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3712255.3734272","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3712255.3734272?download=true","source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2100654678","display_name":null,"funder_award_id":"N00014-22-1-2114","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G3329511842","display_name":null,"funder_award_id":"N00014-23-1-2171","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4413209518.pdf"},"referenced_works_count":3,"referenced_works":["https://openalex.org/W1969302761","https://openalex.org/W2149901355","https://openalex.org/W4400412277"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","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":{"Cooperative":[0],"Coevolutionary":[1],"Algorithms":[2],"have":[3],"discovered":[4],"coordinated":[5],"behaviors":[6],"in":[7,20],"a":[8,63,89,123],"variety":[9],"of":[10],"multiagent":[11],"systems.":[12],"Even":[13],"though":[14],"the":[15,68,84,164],"team's":[16],"performance":[17,140],"is":[18],"captured":[19],"team":[21,43],"fitness,":[22,44],"efficient":[23],"learning":[24],"requires":[25,134],"shaped,":[26],"local":[27],"fitnesses":[28],"for":[29,79,96],"each":[30,38,70],"agent.":[31,86],"While":[32],"traditional":[33,143],"fitness":[34],"shaping":[35,144],"approaches":[36],"capture":[37,49,102],"agent's":[39],"direct":[40],"contribution":[41],"to":[42,48,66,83,94,128,153,162],"they":[45],"are":[46],"unable":[47],"agents'":[50],"indirect":[51],"contributions,":[52],"such":[53,88],"as":[54,150],"supporting":[55],"other":[56],"teammates'":[57,81],"actions.":[58],"Recent":[59],"work":[60,152],"has":[61,72],"incorporated":[62],"domain-specific":[64],"heuristic":[65,90],"measure":[67],"influence":[69,169],"agent":[71,115],"on":[73],"its":[74],"teammates,":[75],"and":[76,99,119,138],"provide":[77],"credit":[78,117,158],"those":[80],"actions":[82],"influencing":[85],"However,":[87],"may":[91,100],"be":[92],"non-trivial":[93],"define":[95],"every":[97],"domain,":[98],"not":[101],"all":[103],"influential":[104],"interactions":[105],"between":[106],"agents.":[107],"We":[108],"propose":[109,148],"randomly":[110],"choosing":[111],"which":[112],"teammates":[113],"an":[114],"receives":[116],"for,":[118],"combining":[120],"that":[121],"with":[122],"mixed":[124],"elites":[125],"selection":[126],"mechanism":[127],"retain":[129],"high":[130],"performing":[131],"teams.":[132],"This":[133],"no":[135],"domain":[136],"expertise,":[137],"shows":[139],"gains":[141],"over":[142],"techniques.":[145],"Lastly,":[146],"we":[147],"bootstrapping":[149],"future":[151],"gradually":[154],"improve":[155],"this":[156],"random":[157],"assignment":[159],"through":[160],"training":[161],"bias":[163],"coevolutionary":[165],"search":[166],"towards":[167],"beneficial":[168],"sets.":[170]},"counts_by_year":[],"updated_date":"2026-03-11T06:11:40.159057","created_date":"2025-10-10T00:00:00"}