{"id":"https://openalex.org/W2790882556","doi":"https://doi.org/10.2514/1.i010553","title":"Adaptive Simulation-Based Training of Artificial-Intelligence Decision Makers Using Bayesian Optimization","display_name":"Adaptive Simulation-Based Training of Artificial-Intelligence Decision Makers Using Bayesian Optimization","publication_year":2018,"publication_date":"2018-01-30","ids":{"openalex":"https://openalex.org/W2790882556","doi":"https://doi.org/10.2514/1.i010553","mag":"2790882556"},"language":"en","primary_location":{"id":"doi:10.2514/1.i010553","is_oa":false,"landing_page_url":"https://doi.org/10.2514/1.i010553","pdf_url":null,"source":{"id":"https://openalex.org/S4210240151","display_name":"Journal of Aerospace Information Systems","issn_l":"2327-3097","issn":["2327-3097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315709","host_organization_name":"American Institute of Aeronautics and Astronautics","host_organization_lineage":["https://openalex.org/P4310315709"],"host_organization_lineage_names":["American Institute of Aeronautics and Astronautics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Aerospace Information 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/A5024305967","display_name":"Brett Israelsen","orcid":"https://orcid.org/0000-0003-1602-1685"},"institutions":[{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Brett Israelsen","raw_affiliation_strings":["University of Colorado, Boulder, Colorado 80309"],"affiliations":[{"raw_affiliation_string":"University of Colorado, Boulder, Colorado 80309","institution_ids":["https://openalex.org/I188538660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100664008","display_name":"Nisar Ahmed","orcid":"https://orcid.org/0000-0002-7555-5671"},"institutions":[{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nisar Ahmed","raw_affiliation_strings":["University of Colorado, Boulder, Colorado 80309"],"affiliations":[{"raw_affiliation_string":"University of Colorado, Boulder, Colorado 80309","institution_ids":["https://openalex.org/I188538660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003995747","display_name":"Roderick Green","orcid":null},"institutions":[{"id":"https://openalex.org/I4210161907","display_name":"Orbit Logic (United States)","ror":"https://ror.org/059vrj561","country_code":"US","type":"company","lineage":["https://openalex.org/I4210161907"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Roderick Green","raw_affiliation_strings":["Orbit Logic Incorporated, Greenbelt, Maryland 20770"],"affiliations":[{"raw_affiliation_string":"Orbit Logic Incorporated, Greenbelt, Maryland 20770","institution_ids":["https://openalex.org/I4210161907"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076228355","display_name":"Winston Bennett","orcid":null},"institutions":[{"id":"https://openalex.org/I1280414376","display_name":"United States Air Force Research Laboratory","ror":"https://ror.org/02e2egq70","country_code":"US","type":"facility","lineage":["https://openalex.org/I1280414376","https://openalex.org/I1330347796","https://openalex.org/I4210102105","https://openalex.org/I4389425425"]},{"id":"https://openalex.org/I2799950915","display_name":"Wright-Patterson Air Force Base","ror":"https://ror.org/0097e1k27","country_code":"US","type":"other","lineage":["https://openalex.org/I1330347796","https://openalex.org/I2799950915","https://openalex.org/I4210089612","https://openalex.org/I4210102105"]},{"id":"https://openalex.org/I4210161907","display_name":"Orbit Logic (United States)","ror":"https://ror.org/059vrj561","country_code":"US","type":"company","lineage":["https://openalex.org/I4210161907"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Winston Bennett","raw_affiliation_strings":["U.S. Air Force Research Laboratory, Wright Patterson Air Force Base, Ohio 45433","Orbit Logic Incorporated, Greenbelt, Maryland 20770"],"affiliations":[{"raw_affiliation_string":"U.S. Air Force Research Laboratory, Wright Patterson Air Force Base, Ohio 45433","institution_ids":["https://openalex.org/I2799950915","https://openalex.org/I1280414376"]},{"raw_affiliation_string":"Orbit Logic Incorporated, Greenbelt, Maryland 20770","institution_ids":["https://openalex.org/I4210161907"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5024305967"],"corresponding_institution_ids":["https://openalex.org/I188538660"],"apc_list":null,"apc_paid":null,"fwci":0.6769,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.76589447,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"15","issue":"2","first_page":"38","last_page":"56"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9973999857902527,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9973999857902527,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9742000102996826,"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/bayesian-optimization","display_name":"Bayesian optimization","score":0.7746474742889404},{"id":"https://openalex.org/keywords/surrogate-model","display_name":"Surrogate model","score":0.7719027996063232},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.6853272318840027},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6708714962005615},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6059828400611877},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5975576639175415},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5141983032226562},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.49115821719169617},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4599643349647522},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4124714732170105},{"id":"https://openalex.org/keywords/adaptive-sampling","display_name":"Adaptive sampling","score":0.4103408753871918},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.1619493067264557},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13119906187057495},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10894069075584412}],"concepts":[{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.7746474742889404},{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.7719027996063232},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.6853272318840027},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6708714962005615},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6059828400611877},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5975576639175415},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5141983032226562},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.49115821719169617},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4599643349647522},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4124714732170105},{"id":"https://openalex.org/C2781395549","wikidata":"https://www.wikidata.org/wiki/Q4680762","display_name":"Adaptive sampling","level":3,"score":0.4103408753871918},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.1619493067264557},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13119906187057495},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10894069075584412},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"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:10.2514/1.i010553","is_oa":false,"landing_page_url":"https://doi.org/10.2514/1.i010553","pdf_url":null,"source":{"id":"https://openalex.org/S4210240151","display_name":"Journal of Aerospace Information Systems","issn_l":"2327-3097","issn":["2327-3097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315709","host_organization_name":"American Institute of Aeronautics and Astronautics","host_organization_lineage":["https://openalex.org/P4310315709"],"host_organization_lineage_names":["American Institute of Aeronautics and Astronautics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Aerospace Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7599999904632568}],"awards":[{"id":"https://openalex.org/G3964852141","display_name":null,"funder_award_id":"FA8650-15-M-6667","funder_id":"https://openalex.org/F4320338294","funder_display_name":"Air Force Research Laboratory"}],"funders":[{"id":"https://openalex.org/F4320338294","display_name":"Air Force Research Laboratory","ror":"https://ror.org/02e2egq70"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W60686164","https://openalex.org/W61667912","https://openalex.org/W135104305","https://openalex.org/W160108772","https://openalex.org/W1484320491","https://openalex.org/W1510052597","https://openalex.org/W1531237033","https://openalex.org/W1559956479","https://openalex.org/W1584066809","https://openalex.org/W1665719966","https://openalex.org/W1879130152","https://openalex.org/W1984211905","https://openalex.org/W2026466730","https://openalex.org/W2039522160","https://openalex.org/W2097998348","https://openalex.org/W2103444732","https://openalex.org/W2113741278","https://openalex.org/W2116882733","https://openalex.org/W2154776925","https://openalex.org/W2157478886","https://openalex.org/W2192203593","https://openalex.org/W2332370438","https://openalex.org/W2478899349","https://openalex.org/W2598733746","https://openalex.org/W3102150134","https://openalex.org/W4246225057","https://openalex.org/W4290075864","https://openalex.org/W4389299251"],"related_works":["https://openalex.org/W4380627621","https://openalex.org/W4292081304","https://openalex.org/W2039716701","https://openalex.org/W2950792054","https://openalex.org/W3042035870","https://openalex.org/W3104422856","https://openalex.org/W4206864338","https://openalex.org/W4287867179","https://openalex.org/W4210726438","https://openalex.org/W4237912051"],"abstract_inverted_index":{"This":[0,63],"work":[1],"studies":[2,138],"how":[3],"an":[4,18],"artifical-intelligence-controlled":[5],"dogfighting":[6],"agent":[7],"with":[8],"tunable":[9],"decision-making":[10],"parameters":[11],"can":[12],"learn":[13,42],"to":[14,40,68,79,156],"optimize":[15,80],"performance":[16,51,81,160],"against":[17],"intelligent":[19],"adversary,":[20],"as":[21],"measured":[22],"by":[23,128],"a":[24,65,102],"stochastic":[25],"objective":[26,110],"function":[27],"evaluated":[28],"on":[29],"simulated":[30],"combat":[31,115],"engagements.":[32],"Gaussian":[33,44,94,148],"process":[34,45,95,149],"Bayesian":[35,96],"optimization":[36,97],"techniques":[37],"are":[38,76,126],"developed":[39],"automatically":[41],"global":[43,122],"surrogate":[46,104,150],"models,":[47,151],"which":[48],"provide":[49,83,101],"statistical":[50],"predictions":[52],"in":[53,113],"both":[54],"explored":[55],"and":[56,82,116,132,161],"unexplored":[57],"areas":[58],"of":[59,147],"the":[60,107,145],"parameter":[61,73],"space.":[62],"allows":[64],"learning":[66],"engine":[67],"sample":[69],"full-combat":[70],"simulations":[71],"at":[72],"values":[74],"that":[75,140],"most":[77],"likely":[78],"highly":[84,108],"informative":[85],"data":[86],"points":[87],"for":[88,106],"improving":[89],"future":[90],"predictions.":[91],"However,":[92],"standard":[93],"methods":[98],"do":[99,118],"not":[100,119],"reliable":[103],"model":[105],"volatile":[109],"functions":[111],"found":[112],"aerial":[114],"thus":[117],"reliably":[120],"identify":[121],"maxima.":[123],"These":[124],"issues":[125],"addressed":[127],"novel":[129],"repeat":[130],"sampling":[131,135,143],"hybrid":[133,141],"repeat/multipoint":[134,142],"techniques.":[136],"Simulation":[137],"show":[139],"improves":[144],"accuracy":[146],"allowing":[152],"artificial-intelligence":[153],"decision":[154],"makers":[155],"more":[157],"accurately":[158],"predict":[159],"efficiently":[162],"tune":[163],"parameters.":[164]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-25T23:56:10.502304","created_date":"2025-10-10T00:00:00"}