{"id":"https://openalex.org/W4238210902","doi":"https://doi.org/10.1109/wsc.2014.7019900","title":"Predicting halfway through simulation: Early scenario evaluation using intermediate features of agent-based simulations","display_name":"Predicting halfway through simulation: Early scenario evaluation using intermediate features of agent-based simulations","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W4238210902","doi":"https://doi.org/10.1109/wsc.2014.7019900"},"language":"en","primary_location":{"id":"doi:10.1109/wsc.2014.7019900","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2014.7019900","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Winter Simulation Conference 2014","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/A5113909837","display_name":"Satoshi Hara","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145865","display_name":"IBM Research - Tokyo","ror":"https://ror.org/04915qk43","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210145865"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Satoshi Hara","raw_affiliation_strings":["IBM Research - Tokyo, Tokyo, JAPAN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research - Tokyo, Tokyo, JAPAN","institution_ids":["https://openalex.org/I4210145865"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028489255","display_name":"Rudy Raymond","orcid":"https://orcid.org/0000-0003-1005-6705"},"institutions":[{"id":"https://openalex.org/I4210145865","display_name":"IBM Research - Tokyo","ror":"https://ror.org/04915qk43","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210145865"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Rudy Raymond","raw_affiliation_strings":["IBM Research - Tokyo, Tokyo, JAPAN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research - Tokyo, Tokyo, JAPAN","institution_ids":["https://openalex.org/I4210145865"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089173802","display_name":"Tetsuro Morimura","orcid":"https://orcid.org/0009-0002-9711-8023"},"institutions":[{"id":"https://openalex.org/I4210145865","display_name":"IBM Research - Tokyo","ror":"https://ror.org/04915qk43","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210145865"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsuro Morimura","raw_affiliation_strings":["IBM Research - Tokyo, Tokyo, JAPAN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research - Tokyo, Tokyo, JAPAN","institution_ids":["https://openalex.org/I4210145865"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037585114","display_name":"Hidemasa Muta","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145865","display_name":"IBM Research - Tokyo","ror":"https://ror.org/04915qk43","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210145865"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hidemasa Muta","raw_affiliation_strings":["IBM Research - Tokyo, Tokyo, JAPAN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research - Tokyo, Tokyo, JAPAN","institution_ids":["https://openalex.org/I4210145865"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210145865"],"apc_list":null,"apc_paid":null,"fwci":0.4659,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.63273106,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"334","last_page":"343b"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10698","display_name":"Transportation Planning and Optimization","score":0.9890000224113464,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.987500011920929,"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":0.7999690175056458},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.6234464645385742},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.593765914440155},{"id":"https://openalex.org/keywords/metamodeling","display_name":"Metamodeling","score":0.49811768531799316},{"id":"https://openalex.org/keywords/fraction","display_name":"Fraction (chemistry)","score":0.46816205978393555},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.41490650177001953},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3554014563560486},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.352035790681839}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7999690175056458},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.6234464645385742},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.593765914440155},{"id":"https://openalex.org/C86610423","wikidata":"https://www.wikidata.org/wiki/Q1925081","display_name":"Metamodeling","level":2,"score":0.49811768531799316},{"id":"https://openalex.org/C149629883","wikidata":"https://www.wikidata.org/wiki/Q660926","display_name":"Fraction (chemistry)","level":2,"score":0.46816205978393555},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.41490650177001953},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3554014563560486},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.352035790681839},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wsc.2014.7019900","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2014.7019900","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Winter Simulation Conference 2014","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.6299999952316284,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1965175390","https://openalex.org/W1985170775","https://openalex.org/W1997995971","https://openalex.org/W2020294948","https://openalex.org/W2038888101","https://openalex.org/W2042121628","https://openalex.org/W2072431653","https://openalex.org/W2117152423","https://openalex.org/W2131241448","https://openalex.org/W2163286960","https://openalex.org/W2167342507","https://openalex.org/W2168405694","https://openalex.org/W2316978050","https://openalex.org/W2319588593","https://openalex.org/W2594639291","https://openalex.org/W3121364520","https://openalex.org/W3122455945","https://openalex.org/W3137550738","https://openalex.org/W3141954048","https://openalex.org/W3142023185","https://openalex.org/W3150083996","https://openalex.org/W3150130873","https://openalex.org/W4211049957","https://openalex.org/W4230916931","https://openalex.org/W4237000665","https://openalex.org/W4244276361","https://openalex.org/W4246566791","https://openalex.org/W4247222564","https://openalex.org/W6678911119","https://openalex.org/W6681952518","https://openalex.org/W6734797129"],"related_works":["https://openalex.org/W2080167534","https://openalex.org/W3146440365","https://openalex.org/W2011315860","https://openalex.org/W2130588191","https://openalex.org/W2140792736","https://openalex.org/W2280241695","https://openalex.org/W4239214709","https://openalex.org/W86865726","https://openalex.org/W4231268542","https://openalex.org/W2132337154"],"abstract_inverted_index":{"Agent-based":[0],"simulations":[1,96,132,141],"are":[2],"indisputably":[3],"effective":[4],"for":[5,45],"analyzing":[6],"complex":[7],"processes":[8],"such":[9,76],"as":[10],"traffic":[11,95],"patterns":[12],"and":[13,114,139],"social":[14],"systems.":[15],"However,":[16],"human":[17],"experts":[18],"often":[19],"face":[20],"the":[21,25,38,47,51,66,84,90,112,117,143],"challenges":[22],"in":[23,50],"repeating":[24],"simulation":[26,106],"many":[27],"times":[28],"when":[29],"evaluating":[30],"a":[31,61,72,135],"large":[32],"variety":[33],"of":[34,53,75,116,137],"scenarios.":[35],"To":[36],"reduce":[37],"computational":[39],"burden,":[40],"we":[41,59,78],"propose":[42],"an":[43],"approach":[44,100],"inferring":[46],"end":[48,85],"results":[49,86,120],"middle":[52],"simulations.":[54,91,118],"For":[55],"each":[56],"simulated":[57],"scenario,":[58],"design":[60],"feature":[62],"that":[63,98,109,122],"compactly":[64],"aggregates":[65],"agents'":[67],"states":[68],"over":[69],"time.":[70],"Given":[71],"sufficient":[73],"number":[74],"features":[77],"show":[79],"how":[80],"to":[81],"accurately":[82],"predict":[83],"without":[87],"fully":[88],"performing":[89,130],"Our":[92,119],"experiments":[93],"with":[94],"confirmed":[97],"our":[99],"achieved":[101],"better":[102],"accuracies":[103],"than":[104],"existing":[105],"metamodeling":[107],"approaches":[108],"only":[110,134],"use":[111],"inputs":[113],"outputs":[115],"imply":[121],"one":[123],"can":[124],"quickly":[125],"evaluate":[126],"all":[127],"scenarios":[128],"by":[129],"full":[131],"on":[133,142],"fraction":[136],"them,":[138],"partial":[140],"rest.":[144]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
