{"id":"https://openalex.org/W7138356369","doi":"https://doi.org/10.1609/aaai.v40i21.38846","title":"Automated Human Strategic Behavior Modeling via Large Language Models","display_name":"Automated Human Strategic Behavior Modeling via Large Language Models","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7138356369","doi":"https://doi.org/10.1609/aaai.v40i21.38846"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v40i21.38846","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i21.38846","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":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1609/aaai.v40i21.38846","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129726656","display_name":"Xiaohan Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohan Xie","raw_affiliation_strings":["School of Science & Engineering, CSIJRI Joint Research Centre on Smart Energy Storage, Shenzhen Key Laboratory of Crowd Intelligence Empowered Low-Carbon Energy Network, The Chinese University of Hong Kong, Shenzhen\nShenzhen Loop Area Institute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science & Engineering, CSIJRI Joint Research Centre on Smart Energy Storage, Shenzhen Key Laboratory of Crowd Intelligence Empowered Low-Carbon Energy Network, The Chinese University of Hong Kong, Shenzhen\nShenzhen Loop Area Institute","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129746443","display_name":"Haoran Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoran Yu","raw_affiliation_strings":["School of Computer Science & Technology, Beijing Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science & Technology, Beijing Institute of Technology","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052573206","display_name":"Biying Shou","orcid":"https://orcid.org/0000-0002-4714-3581"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Biying Shou","raw_affiliation_strings":["School of Management & Economics, The Chinese University of Hong Kong, Shenzhen"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Management & Economics, The Chinese University of Hong Kong, Shenzhen","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5126226530","display_name":"Jianwei Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwei Huang","raw_affiliation_strings":["School of Science & Engineering, CSIJRI Joint Research Centre on Smart Energy Storage, Shenzhen Key Laboratory of Crowd Intelligence Empowered Low-Carbon Energy Network, The Chinese University of Hong Kong, Shenzhen\nShenzhen Loop Area Institute\nShenzhen Institute of Artificial Intelligence and Robotics for Society"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science & Engineering, CSIJRI Joint Research Centre on Smart Energy Storage, Shenzhen Key Laboratory of Crowd Intelligence Empowered Low-Carbon Energy Network, The Chinese University of Hong Kong, Shenzhen\nShenzhen Loop Area Institute\nShenzhen Institute of Artificial Intelligence and Robotics for Society","institution_ids":["https://openalex.org/I4210116924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":0.20994255,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"21","first_page":"17877","last_page":"17885"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.2651999890804291,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.2651999890804291,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.04879999905824661,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.044199999421834946,"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/executable","display_name":"Executable","score":0.8519999980926514},{"id":"https://openalex.org/keywords/mirroring","display_name":"Mirroring","score":0.6675999760627747},{"id":"https://openalex.org/keywords/behavioral-modeling","display_name":"Behavioral modeling","score":0.6079999804496765},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5548999905586243},{"id":"https://openalex.org/keywords/modeling-language","display_name":"Modeling language","score":0.5465999841690063},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.506600022315979},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.5004000067710876},{"id":"https://openalex.org/keywords/human-behavior","display_name":"Human behavior","score":0.4311999976634979},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.42100000381469727}],"concepts":[{"id":"https://openalex.org/C160145156","wikidata":"https://www.wikidata.org/wiki/Q778586","display_name":"Executable","level":2,"score":0.8519999980926514},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7939000129699707},{"id":"https://openalex.org/C189645446","wikidata":"https://www.wikidata.org/wiki/Q350865","display_name":"Mirroring","level":2,"score":0.6675999760627747},{"id":"https://openalex.org/C78639753","wikidata":"https://www.wikidata.org/wiki/Q3318160","display_name":"Behavioral modeling","level":2,"score":0.6079999804496765},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5788000226020813},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5548999905586243},{"id":"https://openalex.org/C179603123","wikidata":"https://www.wikidata.org/wiki/Q1941921","display_name":"Modeling language","level":3,"score":0.5465999841690063},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.506600022315979},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.5004000067710876},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45840001106262207},{"id":"https://openalex.org/C117035363","wikidata":"https://www.wikidata.org/wiki/Q3769299","display_name":"Human behavior","level":2,"score":0.4311999976634979},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.42100000381469727},{"id":"https://openalex.org/C83804111","wikidata":"https://www.wikidata.org/wiki/Q1063558","display_name":"Behavioral pattern","level":2,"score":0.375},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3637999892234802},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.3619999885559082},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.35589998960494995},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.3555999994277954},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.33820000290870667},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3188999891281128},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3098999857902527},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.30390000343322754},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.29600000381469727},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.29260000586509705},{"id":"https://openalex.org/C5570062","wikidata":"https://www.wikidata.org/wiki/Q3919817","display_name":"Behavioural sciences","level":2,"score":0.28760001063346863},{"id":"https://openalex.org/C2989277270","wikidata":"https://www.wikidata.org/wiki/Q168338","display_name":"Behavioral analysis","level":2,"score":0.2732999920845032},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.26980000734329224},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.26440000534057617},{"id":"https://openalex.org/C100609095","wikidata":"https://www.wikidata.org/wiki/Q1335050","display_name":"Embodied cognition","level":2,"score":0.26010000705718994},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.25519999861717224},{"id":"https://openalex.org/C155092808","wikidata":"https://www.wikidata.org/wiki/Q182557","display_name":"Computational linguistics","level":2,"score":0.25440001487731934}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v40i21.38846","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i21.38846","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"},{"id":"pmh:oai:ojs.aaai.org:article/38846","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/38846","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i21.38846","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i21.38846","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"What":[0],"if":[1],"machines":[2],"could":[3],"discover":[4],"human":[5,54,114,166,177],"behavioral":[6,12,35,50,169],"patterns":[7],"better":[8],"than":[9],"experts?":[10],"Traditional":[11],"modeling":[13,36],"in":[14,146,168],"economics":[15],"depends":[16],"on":[17],"costly":[18],"manual":[19],"refinement":[20],"by":[21],"domain":[22],"experts,":[23],"severely":[24],"limiting":[25],"scalability":[26],"and":[27,47,76,94,105,129],"discovery":[28],"potential.":[29],"We":[30],"introduce":[31],"AutoBM,":[32],"an":[33],"automated":[34,157],"framework":[37],"leveraging":[38],"large":[39],"language":[40,64,86],"models":[41,51,60,107,136],"(LLMs)":[42],"to":[43,82],"systematically":[44,164],"generate,":[45],"evaluate,":[46],"refine":[48],"interpretable":[49],"directly":[52],"from":[53],"behavior":[55],"data.":[56],"AutoBM":[57,79,102],"represents":[58],"candidate":[59],"as":[61],"structured":[62],"natural":[63],"specifications,":[65],"explicitly":[66],"defining":[67],"symbolic":[68],"terms":[69],"along":[70],"with":[71],"their":[72],"tunable":[73,92],"parameters,":[74,93],"interpretations,":[75],"design":[77],"rationales.":[78],"leverages":[80],"LLMs":[81],"automatically":[83],"translate":[84],"each":[85],"specification":[87],"into":[88],"executable":[89],"code,":[90],"optimize":[91],"evaluate":[95],"model":[96],"performance.":[97],"Utilizing":[98],"LLM-guided":[99],"search":[100],"strategies,":[101],"iteratively":[103],"recombines":[104],"improves":[106],"at":[108],"the":[109],"term":[110],"level,":[111],"closely":[112],"mirroring":[113],"expert":[115],"practices.":[116],"Experiments":[117],"conducted":[118],"across":[119],"three":[120],"distinct":[121],"strategic":[122,176],"environments":[123],"(the":[124],"ultimatum":[125],"game,":[126],"repeated":[127],"rock-paper-scissors,":[128],"continuous":[130],"double":[131],"auctions)":[132],"demonstrate":[133,155],"that":[134,156],"AutoBM-generated":[135],"consistently":[137],"outperform":[138],"leading":[139],"manually":[140],"crafted":[141],"models,":[142],"achieving":[143],"significant":[144],"improvements":[145],"prediction":[147],"accuracy":[148],"while":[149],"maintaining":[150],"clear":[151],"interpretability.":[152],"Our":[153],"results":[154],"frameworks":[158],"can":[159],"not":[160],"only":[161],"match":[162],"but":[163],"exceed":[165],"expertise":[167],"modeling,":[170],"fundamentally":[171],"changing":[172],"how":[173],"we":[174],"understand":[175],"behavior.":[178]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-03-18T00:00:00"}