{"id":"https://openalex.org/W4237992927","doi":"https://doi.org/10.1109/wsc.2016.7822160","title":"The Goal-Hypothesis-Experiment framework: A generative cognitive domain architecture for simulation experiment management","display_name":"The Goal-Hypothesis-Experiment framework: A generative cognitive domain architecture for simulation experiment management","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W4237992927","doi":"https://doi.org/10.1109/wsc.2016.7822160"},"language":"en","primary_location":{"id":"doi:10.1109/wsc.2016.7822160","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2016.7822160","pdf_url":null,"source":{"id":"https://openalex.org/S4363607936","display_name":"2016 Winter Simulation Conference (WSC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 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/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":["Department of Computer Science and Software Engineering, Auburn University, Auburn, AL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Software Engineering, Auburn University, Auburn, AL, USA","institution_ids":["https://openalex.org/I82497590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079053286","display_name":"Sritika Chakladar","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":"Sritika Chakladar","raw_affiliation_strings":["Department of Computer Science and Software Engineering, Auburn University, Auburn, AL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Software Engineering, Auburn University, Auburn, AL, USA","institution_ids":["https://openalex.org/I82497590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090601709","display_name":"Kyle Doud","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":"Kyle Doud","raw_affiliation_strings":["Department of Computer Science and Software Engineering, Auburn University, Auburn, AL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Software Engineering, 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":16,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1001","last_page":"1012"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"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/T11986","display_name":"Scientific Computing and Data Management","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"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/T11195","display_name":"Simulation Techniques and Applications","score":0.9970999956130981,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9832000136375427,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.7361791133880615},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.6188836693763733},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5240419507026672},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5069622993469238},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5038949847221375},{"id":"https://openalex.org/keywords/cognitive-architecture","display_name":"Cognitive architecture","score":0.4895358979701996},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4487452208995819},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.4421488046646118},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40567338466644287},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.34895098209381104},{"id":"https://openalex.org/keywords/management-science","display_name":"Management science","score":0.3460676670074463},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33939898014068604},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.15795984864234924},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08217158913612366},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.0791657567024231}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7361791133880615},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.6188836693763733},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5240419507026672},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5069622993469238},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5038949847221375},{"id":"https://openalex.org/C20854674","wikidata":"https://www.wikidata.org/wiki/Q4386060","display_name":"Cognitive architecture","level":3,"score":0.4895358979701996},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4487452208995819},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.4421488046646118},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40567338466644287},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.34895098209381104},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.3460676670074463},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33939898014068604},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.15795984864234924},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08217158913612366},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0791657567024231},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wsc.2016.7822160","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2016.7822160","pdf_url":null,"source":{"id":"https://openalex.org/S4363607936","display_name":"2016 Winter Simulation Conference (WSC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W782037706","https://openalex.org/W923081241","https://openalex.org/W1536585362","https://openalex.org/W1974143589","https://openalex.org/W2011076950","https://openalex.org/W2068069008","https://openalex.org/W2100532372","https://openalex.org/W2112411768","https://openalex.org/W2116635252","https://openalex.org/W2148080122","https://openalex.org/W2168103533","https://openalex.org/W2169205960","https://openalex.org/W2416395707","https://openalex.org/W2483479423","https://openalex.org/W3165003809","https://openalex.org/W4213138763","https://openalex.org/W4240405361","https://openalex.org/W4240465045","https://openalex.org/W4249920957","https://openalex.org/W4252427272","https://openalex.org/W4255056379","https://openalex.org/W6622470854","https://openalex.org/W6633796329"],"related_works":["https://openalex.org/W2380075625","https://openalex.org/W4390549206","https://openalex.org/W4390718435","https://openalex.org/W3137171911","https://openalex.org/W4237784285","https://openalex.org/W2374712251","https://openalex.org/W4383031710","https://openalex.org/W3211753092","https://openalex.org/W2386000789","https://openalex.org/W4379540039"],"abstract_inverted_index":{"Simulation":[0],"experiments":[1,29,49],"are":[2,9,30],"not":[3],"conducted":[4],"in":[5,33],"a":[6,61,96],"vacuum.":[7],"They":[8],"performed":[10],"to":[11,63],"address":[12],"specific":[13],"research":[14],"questions":[15],"that":[16,100],"require":[17],"evaluation":[18],"of":[19,53,72,78,84,108],"testable":[20],"hypotheses.":[21],"However,":[22],"the":[23,51,65,69,75,82,109],"connections":[24],"among":[25,45],"goals,":[26,46],"hypotheses,":[27,47],"and":[28,48,74,89],"often":[31],"characterized":[32],"an":[34,105],"ad":[35],"hoc":[36],"manner.":[37],"In":[38],"this":[39],"paper,":[40],"we":[41],"examine":[42],"symbiotic":[43],"dependencies":[44],"within":[50,68],"context":[52],"computational":[54],"discovery.":[55],"Model-Driven":[56],"Science":[57],"is":[58],"advanced":[59],"as":[60,95],"strategy":[62],"facilitate":[64],"search":[66],"process":[67],"operational":[70],"level":[71,77],"hypotheses":[73,91],"tactical":[76],"experiments.":[79],"We":[80],"discuss":[81],"theory":[83,107],"explanatory":[85,106],"coherence":[86],"for":[87],"evaluating":[88],"revising":[90],"while":[92],"using":[93],"it":[94],"run-time":[97],"cognitive":[98],"model":[99],"evolves":[101],"via":[102],"experimentation":[103],"toward":[104],"system":[110],"under":[111],"study.":[112]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}