{"id":"https://openalex.org/W4416113899","doi":"https://doi.org/10.1109/taes.2025.3631435","title":"Prediction-Driven Task Assignment for Multiagent Systems: Rapid Adaptation to Opponent Strategy","display_name":"Prediction-Driven Task Assignment for Multiagent Systems: Rapid Adaptation to Opponent Strategy","publication_year":2025,"publication_date":"2025-11-11","ids":{"openalex":"https://openalex.org/W4416113899","doi":"https://doi.org/10.1109/taes.2025.3631435"},"language":null,"primary_location":{"id":"doi:10.1109/taes.2025.3631435","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2025.3631435","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Aerospace and Electronic Systems","raw_type":"journal-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/A5070125403","display_name":"Z. Wang","orcid":"https://orcid.org/0009-0006-8340-3914"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhaozong Wang","raw_affiliation_strings":["School of Automation Science and Electrical Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101510785","display_name":"Rui Zhou","orcid":"https://orcid.org/0000-0003-2476-1130"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Zhou","raw_affiliation_strings":["School of Automation Science and Electrical Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100358649","display_name":"Xing Li","orcid":"https://orcid.org/0000-0001-8912-5990"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Li","raw_affiliation_strings":["School of Automation Science and Electrical Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054378059","display_name":"Guibin Sun","orcid":"https://orcid.org/0000-0002-8729-2856"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guibin Sun","raw_affiliation_strings":["School of Automation Science and Electrical Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5070125403"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17885071,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"62","issue":null,"first_page":"1663","last_page":"1682"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.40700000524520874,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.40700000524520874,"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/T11574","display_name":"Artificial Intelligence in Games","score":0.09369999915361404,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.08940000087022781,"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/leverage","display_name":"Leverage (statistics)","score":0.6589999794960022},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6255000233650208},{"id":"https://openalex.org/keywords/adversary","display_name":"Adversary","score":0.6039000153541565},{"id":"https://openalex.org/keywords/usable","display_name":"USable","score":0.5622000098228455},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.5526999831199646},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.49160000681877136},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4487999975681305}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7926999926567078},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6589999794960022},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6255000233650208},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.6039000153541565},{"id":"https://openalex.org/C2780615836","wikidata":"https://www.wikidata.org/wiki/Q2471869","display_name":"USable","level":2,"score":0.5622000098228455},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.5526999831199646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49959999322891235},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.49160000681877136},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4487999975681305},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42289999127388},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.3944999873638153},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.38190001249313354},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3440999984741211},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.3409999907016754},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.32749998569488525},{"id":"https://openalex.org/C85044808","wikidata":"https://www.wikidata.org/wiki/Q620614","display_name":"Assignment problem","level":2,"score":0.30149999260902405},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.29499998688697815},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.2786000072956085},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.25999999046325684}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taes.2025.3631435","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2025.3631435","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Aerospace and Electronic Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2176199495","display_name":null,"funder_award_id":"501XYGG2025103037","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G716867869","display_name":null,"funder_award_id":"62473017","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W2061438946","https://openalex.org/W2090518064","https://openalex.org/W2100951312","https://openalex.org/W2157488300","https://openalex.org/W2342596926","https://openalex.org/W3034942609","https://openalex.org/W3108810292","https://openalex.org/W3118786677","https://openalex.org/W3136031088","https://openalex.org/W3157539364","https://openalex.org/W4205511145","https://openalex.org/W4213369309","https://openalex.org/W4285148210","https://openalex.org/W4289821918","https://openalex.org/W4310422352","https://openalex.org/W4312424864","https://openalex.org/W4312553738","https://openalex.org/W4312988590","https://openalex.org/W4313029401","https://openalex.org/W4313150900","https://openalex.org/W4379385867","https://openalex.org/W4390399690","https://openalex.org/W4391407277","https://openalex.org/W4391490483","https://openalex.org/W4391547618","https://openalex.org/W4391559306","https://openalex.org/W4391854859","https://openalex.org/W4394699099","https://openalex.org/W4394912677","https://openalex.org/W4396753593","https://openalex.org/W4398151026","https://openalex.org/W4398765795","https://openalex.org/W4401548471","https://openalex.org/W4403843611","https://openalex.org/W4404056518","https://openalex.org/W4406946769"],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"the":[3,24,38,45,84,102,126,132,142,149,157,203,221],"problem":[4,20],"of":[5,47,73,81,86,123,170,208],"task":[6,39,106,158,175],"assignment":[7,40,159],"for":[8,18,115],"multi-agent":[9],"systems":[10],"in":[11,22,105,141,174,185,220],"an":[12],"adversarial":[13],"environment.":[14],"The":[15,65,213],"main":[16],"challenge":[17],"this":[19,34,91],"lies":[21],"identifying":[23],"unknown":[25],"opponents'":[26,103],"information":[27,35,104],"using":[28],"limited":[29],"usable":[30],"data":[31,75],"and":[32,83,172,210],"employing":[33],"to":[36,43,77,100,125,155,179,197],"optimize":[37,156],"strategy.":[41,129,160],"First,":[42],"overcome":[44],"lack":[46],"sufficient":[48],"data,":[49],"we":[50,108],"propose":[51,109],"a":[52,70,89,110],"modular":[53,66],"neural":[54],"network":[55],"whose":[56],"structure":[57],"is":[58,135,153,217],"informed":[59],"by":[60],"expert":[61],"knowledge":[62],"about":[63],"opponents.":[64],"model":[67,93],"requires":[68],"only":[69],"small":[71],"amount":[72],"training":[74],"due":[76],"its":[78],"reduced":[79],"number":[80],"parameters":[82],"application":[85],"pre-training.":[87],"As":[88],"result,":[90],"opponent":[92,128,143],"can":[94],"rapidly":[95],"achieve":[96],"high":[97],"fidelity.":[98],"Second,":[99],"leverage":[101],"assignment,":[107],"prediction-driven":[111,200],"method":[112,167,192],"that":[113,164],"plans":[114],"long-term":[116,121,133,147],"benefits.":[117],"We":[118],"present":[119],"several":[120],"benefits":[122],"adapting":[124],"flexible":[127,189],"In":[130],"addition,":[131],"benefit":[134],"calculated":[136],"via":[137],"multiple":[138],"execution":[139,176],"turns":[140],"model.":[144],"To":[145],"maximize":[146],"benefits,":[148],"Grey":[150],"Wolf":[151],"Optimizer":[152],"utilized":[154],"Numerical":[161],"simulations":[162,186],"show":[163],"our":[165,191],"proposed":[166],"achieves":[168],"improvements":[169,207],"14%":[171],"24%":[173],"efficiency":[177],"compared":[178,196],"two":[180,198],"methods":[181,201],"without":[182],"prediction.":[183],"Furthermore,":[184],"involving":[187],"more":[188],"opponents,":[190],"demonstrates":[193],"superior":[194],"performance":[195],"other":[199],"within":[202],"same":[204],"framework,":[205],"achieving":[206],"17%":[209],"30%,":[211],"respectively.":[212],"simulation":[214],"implementation":[215],"code":[216],"publicly":[218],"available":[219],"repository.":[222]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-11-11T00:00:00"}