{"id":"https://openalex.org/W3150751818","doi":"https://doi.org/10.1109/wsc48552.2020.9383858","title":"Learning Rule-Based Explanatory Models from Exploratory Multi-Simulation for Decision-Support Under Uncertainty","display_name":"Learning Rule-Based Explanatory Models from Exploratory Multi-Simulation for Decision-Support Under Uncertainty","publication_year":2020,"publication_date":"2020-12-14","ids":{"openalex":"https://openalex.org/W3150751818","doi":"https://doi.org/10.1109/wsc48552.2020.9383858","mag":"3150751818"},"language":"en","primary_location":{"id":"doi:10.1109/wsc48552.2020.9383858","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc48552.2020.9383858","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 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/A5016864502","display_name":"Brodderick Rodriguez","orcid":null},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brodderick Rodriguez","raw_affiliation_strings":["Auburn University, Auburn, AL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Auburn University, Auburn, AL, USA","institution_ids":["https://openalex.org/I82497590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060285076","display_name":"Levent Y\u0131lmaz","orcid":"https://orcid.org/0000-0002-5082-3908"},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Levent Yilmaz","raw_affiliation_strings":["Auburn University, Auburn, AL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Auburn University, Auburn, AL, USA","institution_ids":["https://openalex.org/I82497590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I82497590"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"2293","last_page":"2304"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9689000248908997,"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/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9539999961853027,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.801504373550415},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7903997898101807},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5988596081733704},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5528461933135986},{"id":"https://openalex.org/keywords/exploratory-research","display_name":"Exploratory research","score":0.5209680795669556},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5109726190567017},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46531227231025696},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.43742167949676514},{"id":"https://openalex.org/keywords/simulation-modeling","display_name":"Simulation modeling","score":0.4359934628009796},{"id":"https://openalex.org/keywords/exploratory-data-analysis","display_name":"Exploratory data analysis","score":0.4102633595466614},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3312148153781891},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07426083087921143}],"concepts":[{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.801504373550415},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7903997898101807},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5988596081733704},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5528461933135986},{"id":"https://openalex.org/C85973986","wikidata":"https://www.wikidata.org/wiki/Q1091731","display_name":"Exploratory research","level":2,"score":0.5209680795669556},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5109726190567017},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46531227231025696},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.43742167949676514},{"id":"https://openalex.org/C108215451","wikidata":"https://www.wikidata.org/wiki/Q7263963","display_name":"Simulation modeling","level":2,"score":0.4359934628009796},{"id":"https://openalex.org/C120894424","wikidata":"https://www.wikidata.org/wiki/Q1322871","display_name":"Exploratory data analysis","level":2,"score":0.4102633595466614},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3312148153781891},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07426083087921143},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wsc48552.2020.9383858","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc48552.2020.9383858","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W103951555","https://openalex.org/W283447821","https://openalex.org/W607674676","https://openalex.org/W1494019345","https://openalex.org/W1506906049","https://openalex.org/W1537891716","https://openalex.org/W1589018387","https://openalex.org/W1947097685","https://openalex.org/W1989101984","https://openalex.org/W2052153221","https://openalex.org/W2053178998","https://openalex.org/W2064829610","https://openalex.org/W2075772595","https://openalex.org/W2090403712","https://openalex.org/W2105963649","https://openalex.org/W2117690866","https://openalex.org/W2126976635","https://openalex.org/W2128606483","https://openalex.org/W2139224987","https://openalex.org/W2150312211","https://openalex.org/W2157838568","https://openalex.org/W2166390850","https://openalex.org/W2282893833","https://openalex.org/W2337501734","https://openalex.org/W2477378326","https://openalex.org/W2515347953","https://openalex.org/W2542910461","https://openalex.org/W2735200102","https://openalex.org/W2746353786","https://openalex.org/W2796971335","https://openalex.org/W2930561964","https://openalex.org/W3095603766","https://openalex.org/W4233218641","https://openalex.org/W4242020414","https://openalex.org/W6610275210","https://openalex.org/W6630379976","https://openalex.org/W6663399104","https://openalex.org/W6680695624","https://openalex.org/W6695935773","https://openalex.org/W6817677645"],"related_works":["https://openalex.org/W2353179089","https://openalex.org/W2923538289","https://openalex.org/W2353125546","https://openalex.org/W2470643824","https://openalex.org/W4400595174","https://openalex.org/W2349635380","https://openalex.org/W4353089801","https://openalex.org/W2353819554","https://openalex.org/W2361175230","https://openalex.org/W4387885925"],"abstract_inverted_index":{"Exploratory":[0],"modeling":[1],"and":[2,14,42,54],"simulation":[3],"is":[4,66],"an":[5,28,94],"effective":[6],"strategy":[7],"when":[8],"there":[9],"are":[10,51],"substantial":[11],"contextual":[12],"uncertainty":[13],"representational":[15],"ambiguity":[16],"in":[17,32],"problem":[18],"formulation.":[19],"However,":[20],"two":[21],"significant":[22],"challenges":[23],"impede":[24],"the":[25,40,57,60,70],"use":[26],"of":[27,30,44,59,69],"ensemble":[29],"models":[31,46],"exploratory":[33],"simulation.":[34],"The":[35,63],"first":[36],"challenge":[37,65],"involves":[38],"streamlining":[39],"maintenance":[41],"synthesis":[43],"multiple":[45],"from":[47,53,103],"plausible":[48],"features":[49],"that":[50,88],"identified":[52],"subject":[55],"to":[56,99],"constraints":[58],"research":[61],"hypothesis.":[62],"second":[64],"making":[67],"sense":[68],"data":[71],"generated":[72],"by":[73],"multi-simulation":[74,104],"over":[75],"a":[76,85],"model":[77],"ensemble.":[78],"To":[79],"address":[80],"both":[81],"challenges,":[82],"we":[83],"introduce":[84],"computational":[86],"framework":[87],"integrates":[89],"feature-driven":[90],"variability":[91],"management":[92],"with":[93],"anticipatory":[95],"learning":[96],"classifier":[97],"system":[98],"generate":[100],"explanatory":[101],"rules":[102],"data.":[105]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}