{"id":"https://openalex.org/W4379415349","doi":"https://doi.org/10.1145/3573900.3591114","title":"From Explainable AI to Explainable Simulation: Using Machine Learning and XAI to understand System Robustness","display_name":"From Explainable AI to Explainable Simulation: Using Machine Learning and XAI to understand System Robustness","publication_year":2023,"publication_date":"2023-06-05","ids":{"openalex":"https://openalex.org/W4379415349","doi":"https://doi.org/10.1145/3573900.3591114"},"language":"en","primary_location":{"id":"doi:10.1145/3573900.3591114","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3573900.3591114","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3573900.3591114","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGSIM Conference on Principles of Advanced Discrete Simulation","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3573900.3591114","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019425599","display_name":"Niclas Feldkamp","orcid":"https://orcid.org/0000-0002-7456-5077"},"institutions":[{"id":"https://openalex.org/I119449181","display_name":"Technische Universit\u00e4t Ilmenau","ror":"https://ror.org/01weqhp73","country_code":"DE","type":"education","lineage":["https://openalex.org/I119449181"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Niclas Feldkamp","raw_affiliation_strings":["Technische Universit\u00e4t Ilmenau, Germany"],"raw_orcid":"https://orcid.org/0000-0002-7456-5077","affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Ilmenau, Germany","institution_ids":["https://openalex.org/I119449181"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052623455","display_name":"Steffen Stra\u00dfburger","orcid":"https://orcid.org/0000-0002-0702-9127"},"institutions":[{"id":"https://openalex.org/I119449181","display_name":"Technische Universit\u00e4t Ilmenau","ror":"https://ror.org/01weqhp73","country_code":"DE","type":"education","lineage":["https://openalex.org/I119449181"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Steffen Strassburger","raw_affiliation_strings":["Technische Universit\u00e4t Ilmenau, Germany"],"raw_orcid":"https://orcid.org/0000-0002-0702-9127","affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Ilmenau, Germany","institution_ids":["https://openalex.org/I119449181"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5019425599"],"corresponding_institution_ids":["https://openalex.org/I119449181"],"apc_list":null,"apc_paid":null,"fwci":0.852,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.78100517,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"96","last_page":"106"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9961000084877014,"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":0.9961000084877014,"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/T11195","display_name":"Simulation Techniques and Applications","score":0.9729999899864197,"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":0.9550999999046326,"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/robustness","display_name":"Robustness (evolution)","score":0.9230167269706726},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7918978929519653},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5900829434394836},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5804077982902527},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.509641170501709},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48789215087890625},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.43350690603256226}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.9230167269706726},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7918978929519653},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5900829434394836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5804077982902527},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.509641170501709},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48789215087890625},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.43350690603256226},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3573900.3591114","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3573900.3591114","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3573900.3591114","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGSIM Conference on Principles of Advanced Discrete Simulation","raw_type":"proceedings-article"},{"id":"pmh:oai:www.db-thueringen.de:dbt_mods_00062116","is_oa":true,"landing_page_url":"https://www.db-thueringen.de/receive/dbt_mods_00062116","pdf_url":"https://www.db-thueringen.de/servlets/MCRFileNodeServlet/dbt_derivate_00064481/979-8-4007-0030-9_2023_96-106.pdf","source":{"id":"https://openalex.org/S4306400120","display_name":"Common Library Network (Der Gemeinsame Bibliotheksverbund)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210149878","host_organization_name":"Verbundzentrale des GBV","host_organization_lineage":["https://openalex.org/I4210149878"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1145/3573900.3591114","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3573900.3591114","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3573900.3591114","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGSIM Conference on Principles of Advanced Discrete Simulation","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4379415349.pdf"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1864969757","https://openalex.org/W1968851623","https://openalex.org/W1976474629","https://openalex.org/W1984214132","https://openalex.org/W2060135116","https://openalex.org/W2076184585","https://openalex.org/W2094922706","https://openalex.org/W2125784747","https://openalex.org/W2128354503","https://openalex.org/W2151554105","https://openalex.org/W2152626185","https://openalex.org/W2282821441","https://openalex.org/W2493343568","https://openalex.org/W2561675875","https://openalex.org/W2618435777","https://openalex.org/W2618851150","https://openalex.org/W2782999180","https://openalex.org/W2788403449","https://openalex.org/W2809925683","https://openalex.org/W2958089299","https://openalex.org/W2962772482","https://openalex.org/W2962862931","https://openalex.org/W2964108846","https://openalex.org/W2973449430","https://openalex.org/W2981731882","https://openalex.org/W3031116957","https://openalex.org/W3098112554","https://openalex.org/W3108410348","https://openalex.org/W3123686114","https://openalex.org/W3126582233","https://openalex.org/W3174752098","https://openalex.org/W3204327147","https://openalex.org/W4214856323","https://openalex.org/W4230221692","https://openalex.org/W4250459339","https://openalex.org/W4287774497","https://openalex.org/W4312921604","https://openalex.org/W4317792675"],"related_works":["https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3193043704","https://openalex.org/W3171520305","https://openalex.org/W2068608913","https://openalex.org/W1924178503","https://openalex.org/W4308716060","https://openalex.org/W4280648719","https://openalex.org/W3135126032","https://openalex.org/W4386937079"],"abstract_inverted_index":{"Evaluating":[0],"robustness":[1,47,198],"is":[2,10,50,62,65],"an":[3],"important":[4],"goal":[5],"in":[6,21,29,77],"simulation-based":[7],"analysis.":[8],"Robustness":[9],"achieved":[11],"when":[12],"the":[13,37,40,74,78,87,115],"controllable":[14],"factors":[15,31],"of":[16,39,45,68,120,199],"a":[17,23,51,59,66,183,200],"system":[18,46,197],"are":[19,149],"adjusted":[20],"such":[22],"way":[24],"that":[25],"any":[26],"possible":[27],"variance":[28,38],"uncontrollable":[30],"(noise)":[32],"has":[33],"minimal":[34],"impact":[35],"on":[36],"desired":[41],"output.":[42,177],"The":[43],"optimization":[44],"using":[48,94,186],"simulation":[49,60,121,174,202],"dedicated":[52],"and":[53,103,113,123,128,169,176,191,195],"well-established":[54],"research":[55],"direction.":[56],"However,":[57,126],"once":[58],"model":[61],"available,":[63],"there":[64],"lot":[67],"potential":[69],"to":[70,89,159,167,193],"learn":[71,170],"more":[72],"about":[73,171],"inherent":[75],"relationships":[76],"system,":[79],"especially":[80],"regarding":[81],"its":[82],"robustness.":[83],"Data":[84,187],"farming":[85],"offers":[86],"possibility":[88],"explore":[90,168],"large":[91,118],"design":[92],"spaces":[93],"smart":[95],"experiment":[96],"design,":[97],"high":[98],"performance":[99],"computing,":[100],"automated":[101],"analysis,":[102],"interactive":[104],"visualization.":[105],"Sophisticated":[106],"machine":[107,140,189],"learning":[108,141,190],"methods":[109,142],"excel":[110],"at":[111],"recognizing":[112],"modelling":[114],"relation":[116],"between":[117,173],"amounts":[119],"input":[122,175],"output":[124],"data.":[125],"investigating":[127],"analyzing":[129],"this":[130,162,179],"modelled":[131],"relationship":[132],"can":[133,157],"be":[134],"very":[135],"difficult,":[136],"since":[137],"most":[138],"modern":[139],"like":[143],"neural":[144],"networks":[145],"or":[146],"random":[147],"forests":[148],"opaque":[150],"black":[151,163],"boxes.":[152],"Explainable":[153],"Artificial":[154],"Intelligence":[155],"(XAI)":[156],"help":[158],"peak":[160],"into":[161],"box,":[164],"helping":[165],"us":[166],"relations":[172],"In":[178],"paper,":[180],"we":[181],"introduce":[182],"concept":[184],"for":[185],"Farming,":[188],"XAI":[192],"investigate":[194],"understand":[196],"given":[201],"model.":[203]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-01-21T23:30:37.877113","created_date":"2025-10-10T00:00:00"}
