{"id":"https://openalex.org/W4213434122","doi":"https://doi.org/10.1109/wsc52266.2021.9715350","title":"An Uncertainty Quantification Approach For Agent-Based Modeling Of Human Behavior In Networked Anagram Games","display_name":"An Uncertainty Quantification Approach For Agent-Based Modeling Of Human Behavior In Networked Anagram Games","publication_year":2021,"publication_date":"2021-12-12","ids":{"openalex":"https://openalex.org/W4213434122","doi":"https://doi.org/10.1109/wsc52266.2021.9715350"},"language":"en","primary_location":{"id":"doi:10.1109/wsc52266.2021.9715350","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc52266.2021.9715350","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5009578658","display_name":"Zhihao Hu","orcid":"https://orcid.org/0000-0002-1669-4559"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhihao Hu","raw_affiliation_strings":["Department of Statistics Virginia Tech,Blacksburg,VA,USA,24061"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics Virginia Tech,Blacksburg,VA,USA,24061","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003817085","display_name":"Xinwei Deng","orcid":"https://orcid.org/0000-0002-1560-2405"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xinwei Deng","raw_affiliation_strings":["Department of Statistics Virginia Tech,Blacksburg,VA,USA,24061"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics Virginia Tech,Blacksburg,VA,USA,24061","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006412870","display_name":"Chris J. Kuhlman","orcid":"https://orcid.org/0000-0002-9368-2156"},"institutions":[{"id":"https://openalex.org/I4210151352","display_name":"Biocom","ror":"https://ror.org/03ymdxs56","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210151352"]},{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chris J. Kuhlman","raw_affiliation_strings":["Biocomplexity Institute &#x0026; Initiative, University of Virginia,Charlottesville,VA,USA,22904","Biocomplexity Institute &#x0026"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biocomplexity Institute &#x0026; Initiative, University of Virginia,Charlottesville,VA,USA,22904","institution_ids":["https://openalex.org/I4210151352","https://openalex.org/I51556381"]},{"raw_affiliation_string":"Biocomplexity Institute &#x0026","institution_ids":["https://openalex.org/I4210151352"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"28","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11810","display_name":"Complex Systems and Decision Making","score":0.9891999959945679,"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/T11810","display_name":"Complex Systems and Decision Making","score":0.9891999959945679,"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/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9592999815940857,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11031","display_name":"Game Theory and Applications","score":0.9217000007629395,"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/anagram","display_name":"Anagram","score":0.9465724229812622},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7168187499046326},{"id":"https://openalex.org/keywords/multinomial-logistic-regression","display_name":"Multinomial logistic regression","score":0.6174803972244263},{"id":"https://openalex.org/keywords/multinomial-distribution","display_name":"Multinomial distribution","score":0.49184513092041016},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.48793742060661316},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.46992313861846924},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45000576972961426},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36613038182258606},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.1517384946346283},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10343635082244873},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09562438726425171}],"concepts":[{"id":"https://openalex.org/C2777996765","wikidata":"https://www.wikidata.org/wiki/Q122981","display_name":"Anagram","level":3,"score":0.9465724229812622},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7168187499046326},{"id":"https://openalex.org/C117568660","wikidata":"https://www.wikidata.org/wiki/Q1650843","display_name":"Multinomial logistic regression","level":2,"score":0.6174803972244263},{"id":"https://openalex.org/C192065140","wikidata":"https://www.wikidata.org/wiki/Q1147928","display_name":"Multinomial distribution","level":2,"score":0.49184513092041016},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48793742060661316},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.46992313861846924},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45000576972961426},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36613038182258606},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.1517384946346283},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10343635082244873},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09562438726425171},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wsc52266.2021.9715350","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc52266.2021.9715350","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1857200421","https://openalex.org/W1977556410","https://openalex.org/W1984022436","https://openalex.org/W2097201195","https://openalex.org/W2112602938","https://openalex.org/W2113188550","https://openalex.org/W2122309512","https://openalex.org/W2135551557","https://openalex.org/W2174926646","https://openalex.org/W2773965681","https://openalex.org/W2898267336","https://openalex.org/W2904934082","https://openalex.org/W2962681511","https://openalex.org/W2963433767","https://openalex.org/W2973202253","https://openalex.org/W2999265642","https://openalex.org/W3003554129","https://openalex.org/W3007803002","https://openalex.org/W3128782210","https://openalex.org/W3147761645","https://openalex.org/W4242453369","https://openalex.org/W4246003469","https://openalex.org/W6644682428","https://openalex.org/W6646201353"],"related_works":["https://openalex.org/W1983724076","https://openalex.org/W2143935516","https://openalex.org/W2020573679","https://openalex.org/W2332886173","https://openalex.org/W1963562434","https://openalex.org/W2126054115","https://openalex.org/W2149685959","https://openalex.org/W2784774275","https://openalex.org/W2184978910","https://openalex.org/W1917858188"],"abstract_inverted_index":{"In":[0,47],"a":[1,30,108],"group":[2,61],"anagram":[3,62],"game,":[4],"players":[5,75,111],"are":[6,112],"provided":[7],"letters":[8,20],"to":[9,26,87,133],"form":[10],"as":[11,14],"many":[12],"words":[13],"possible.":[15],"They":[16],"can":[17],"also":[18],"request":[19],"from":[21,36],"their":[22,78],"neighbors":[23,117,132],"and":[24,53,85,96,118],"reply":[25],"letter":[27],"requests.":[28],"Currently,":[29],"single":[31],"agent-based":[32],"model":[33,109],"is":[34,107],"produced":[35],"all":[37],"experimental":[38],"data,":[39],"with":[40,131],"dependence":[41],"only":[42],"on":[43,77],"number":[44],"of":[45,104,116,128,137],"neighbors.":[46],"this":[48,105],"work,":[49],"we":[50,70],"build,":[51],"exercise,":[52],"evaluate":[54],"enhanced":[55],"agent":[56],"behavior":[57],"models":[58],"for":[59,74,93],"networked":[60],"games":[63],"under":[64],"an":[65],"uncertainty":[66,98],"quantification":[67],"framework.":[68],"Specifically,":[69],"cluster":[71],"game":[72],"data":[73],"based":[76],"skill":[79,120],"levels":[80,121],"(forming":[81],"words,":[82],"requesting":[83],"letters,":[84],"replying":[86],"requests),":[88],"perform":[89],"multinomial":[90],"logistic":[91],"regression":[92],"transition":[94],"probabilities,":[95],"quantify":[97],"within":[99],"each":[100],"cluster.":[101],"The":[102],"result":[103],"process":[106],"where":[110],"assigned":[113],"different":[114,119],"numbers":[115],"in":[122],"the":[123,135],"game.":[124],"We":[125],"conduct":[126],"simulations":[127],"ego":[129],"agents":[130],"demonstrate":[134],"efficacy":[136],"our":[138],"proposed":[139],"methods.":[140]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}
