{"id":"https://openalex.org/W4285805494","doi":"https://doi.org/10.1145/3520304.3529035","title":"Entropy-based local fitnesses for evolutionary multiagent systems","display_name":"Entropy-based local fitnesses for evolutionary multiagent systems","publication_year":2022,"publication_date":"2022-07-09","ids":{"openalex":"https://openalex.org/W4285805494","doi":"https://doi.org/10.1145/3520304.3529035"},"language":"en","primary_location":{"id":"doi:10.1145/3520304.3529035","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3520304.3529035","pdf_url":null,"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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083987064","display_name":"Ayhan Alp Aydeniz","orcid":"https://orcid.org/0000-0001-6279-9266"},"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":"Ayhan Alp Aydeniz","raw_affiliation_strings":["Oregon State University"],"affiliations":[{"raw_affiliation_string":"Oregon State University","institution_ids":["https://openalex.org/I131249849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049730137","display_name":"Anna Nickelson","orcid":"https://orcid.org/0009-0002-8664-4116"},"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":"Anna Nickelson","raw_affiliation_strings":["Oregon State University"],"affiliations":[{"raw_affiliation_string":"Oregon State University","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"],"affiliations":[{"raw_affiliation_string":"Oregon State University","institution_ids":["https://openalex.org/I131249849"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5083987064"],"corresponding_institution_ids":["https://openalex.org/I131249849"],"apc_list":null,"apc_paid":null,"fwci":0.2078,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.39307261,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"212","last_page":"215"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9991000294685364,"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"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.989300012588501,"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"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9855999946594238,"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/computer-science","display_name":"Computer science","score":0.5537885427474976},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4445701837539673},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3326255679130554},{"id":"https://openalex.org/keywords/thermodynamics","display_name":"Thermodynamics","score":0.09329751133918762}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5537885427474976},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4445701837539673},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3326255679130554},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.09329751133918762},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3520304.3529035","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3520304.3529035","pdf_url":null,"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":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2385360950","display_name":null,"funder_award_id":"FA9550-19-1-0195","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G7403748957","display_name":null,"funder_award_id":"2112633","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"},{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W41554520","https://openalex.org/W2509924317","https://openalex.org/W2532490048","https://openalex.org/W2911495555"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2376932109","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W1596801655","https://openalex.org/W3099557286","https://openalex.org/W2509268119","https://openalex.org/W2740928306","https://openalex.org/W600598436"],"abstract_inverted_index":{"Evolutionary":[0],"multiagent":[1],"systems":[2],"have":[3],"been":[4],"successfully":[5],"applied":[6],"to":[7,58,119,176],"many":[8],"real":[9],"world":[10],"problems,":[11,28],"including":[12],"search":[13],"and":[14,16,38,104],"rescue":[15],"ocean":[17],"exploration.":[18],"However,":[19],"as":[20],"the":[21,29,82,86,126,132,142],"number":[22],"of":[23,49,73,85,116],"agents":[24,44,103,143],"increases":[25],"in":[26,149],"such":[27],"evaluation":[30,87,136],"function":[31],"captures":[32],"an":[33],"individual":[34],"agent's":[35],"fitness":[36,124],"less":[37,39],"accurately.":[40],"As":[41],"a":[42,46,121,171],"consequence,":[43],"adopt":[45],"small":[47],"set":[48],"acceptable":[50],"behaviors":[51,101,108,165],"that":[52,98,141,166],"are":[53],"neither":[54],"optimal":[55],"nor":[56],"robust":[57,106,177],"environmental":[59,111],"changes":[60],"or":[61,68,81],"teammate":[62],"failures.":[63],"Fitness":[64],"shaping,":[65],"intrinsic":[66],"fitnesses,":[67],"multi-fitness":[69],"learning":[70],"alleviate":[71],"some":[72],"these":[74],"concerns":[75],"but":[76,174],"generally":[77],"require":[78],"domain":[79,157],"knowledge":[80],"functional":[83],"form":[84],"function.":[88,137],"In":[89,159],"this":[90],"paper,":[91],"we":[92],"introduce":[93],"Entropy-Based":[94],"Local":[95],"Fitnesses":[96],"(EBLFs)":[97],"generate":[99],"diverse":[100],"for":[102],"produce":[105],"team":[107,178],"without":[109,129,155],"requiring":[110,156],"knowledge.":[112,158],"The":[113],"key":[114],"contribution":[115],"EBLFs":[117,145,161],"is":[118],"inject":[120],"dense,":[122],"entropy-based":[123],"into":[125],"agents'":[127],"evolution":[128],"interfering":[130],"with":[131,152],"sparse,":[133],"high-level":[134],"system":[135],"Our":[138],"results":[139],"show":[140],"using":[144],"learn":[146],"new":[147,163],"skills":[148],"difficult":[150],"environments":[151],"sparse":[153],"feedback":[154],"addition,":[160],"generated":[162],"team-level":[164],"were":[167],"not":[168],"defined":[169],"by":[170],"human":[172],"operator,":[173],"beneficial":[175],"performance.":[179]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
