{"id":"https://openalex.org/W4280501202","doi":"https://doi.org/10.48550/arxiv.2205.05052","title":"On learning agent-based models from data","display_name":"On learning agent-based models from data","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4280501202","doi":"https://doi.org/10.48550/arxiv.2205.05052"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2205.05052","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/abs/2205.05052","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002012048","display_name":"Corrado Monti","orcid":"https://orcid.org/0000-0001-6846-5718"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Monti, Corrado","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057979179","display_name":"Marco Pangallo","orcid":"https://orcid.org/0000-0001-9966-1674"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pangallo, Marco","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041680508","display_name":"Gianmarco De Francisci Morales","orcid":"https://orcid.org/0000-0002-2415-494X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Morales, Gianmarco De Francisci","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5022272025","display_name":"Francesco Bonchi","orcid":"https://orcid.org/0000-0001-9464-8315"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bonchi, Francesco","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":60},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9939,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9939,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12659","display_name":"Innovation Diffusion and Forecasting","score":0.9266,"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/unobservable","display_name":"Unobservable","score":0.7570335},{"id":"https://openalex.org/keywords/identification","display_name":"Identification","score":0.50015354}],"concepts":[{"id":"https://openalex.org/C2780695315","wikidata":"https://www.wikidata.org/wiki/Q3799040","display_name":"Unobservable","level":2,"score":0.7570335},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.68092626},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.605052},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5567665},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.5326141},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.50015354},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.45152444},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.40144283},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3763932},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3616776},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3411243},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16159657},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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":2,"locations":[{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2205.05052","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://api.datacite.org/dois/10.48550/arxiv.2205.05052","pdf_url":null,"source":{"id":"https://openalex.org/S4393179698","display_name":"DataCite API","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210145204","host_organization_name":"DataCite","host_organization_lineage":["https://openalex.org/I4210145204"],"host_organization_lineage_names":["DataCite"],"type":"metadata"},"license":null,"license_id":null,"version":null}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2205.05052","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[{"score":0.7,"id":"https://metadata.un.org/sdg/1","display_name":"No poverty"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4293337373","https://openalex.org/W3123801500","https://openalex.org/W2614563012","https://openalex.org/W2349333549","https://openalex.org/W2058478026","https://openalex.org/W2022816325","https://openalex.org/W2017698186","https://openalex.org/W1984270607","https://openalex.org/W1968533609","https://openalex.org/W1624628591"],"abstract_inverted_index":{"Agent-Based":[0],"Models":[1],"(ABMs)":[2],"are":[3],"used":[4,183],"in":[5,140,151],"several":[6],"fields":[7],"to":[8,55,72,76,133,149,195,204,212,219],"study":[9],"the":[10,57,114,117,137,157,164,169,173,202,207,210,215],"evolution":[11],"of":[12,60,68,94,101,116,136,163,172,209],"complex":[13],"systems":[14],"from":[15,36,63],"micro-level":[16,38],"assumptions.":[17],"However,":[18],"ABMs":[19,35],"typically":[20],"can":[21,181,189],"not":[22],"estimate":[23],"agent-specific":[24],"(or":[25],"\"micro\")":[26],"variables:":[27],"this":[28,49],"is":[29,71],"a":[30,53,77,82,121],"major":[31],"limitation":[32],"which":[33,42,141],"prevents":[34],"harnessing":[37],"data":[39,97,197],"availability":[40],"and":[41,96,99,218],"greatly":[43],"limits":[44],"their":[45],"predictive":[46],"power.":[47],"In":[48],"paper,":[50],"we":[51],"propose":[52],"protocol":[54,70,110,129,188],"learn":[56],"latent":[58,118,165],"micro-variables":[59],"an":[61,74,134,193],"ABM":[62,75,135],"data.":[64],"The":[65],"first":[66],"step":[67],"our":[69,109,128,179],"reduce":[73],"probabilistic":[78],"model,":[79,211],"characterized":[80],"by":[81,112,130],"computationally":[83],"tractable":[84],"likelihood.":[85],"This":[86],"reduction":[87],"follows":[88],"two":[89],"general":[90,170],"design":[91],"principles:":[92],"balance":[93],"stochasticity":[95],"availability,":[98],"replacement":[100],"unobservable":[102],"discrete":[103],"choices":[104],"with":[105,143],"differentiable":[106],"approximations.":[107],"Then,":[108],"proceeds":[111],"maximizing":[113],"likelihood":[115],"variables":[119],"via":[120],"gradient-based":[122],"expectation":[123],"maximization":[124],"algorithm.":[125],"We":[126,154,175],"demonstrate":[127,155],"applying":[131],"it":[132],"housing":[138],"market,":[139],"agents":[142],"different":[144],"incomes":[145],"bid":[146],"higher":[147],"prices":[148],"live":[150],"high-income":[152],"neighborhoods.":[153],"that":[156,178,200],"obtained":[158],"model":[159],"allows":[160],"accurate":[161],"estimates":[162,180],"variables,":[166],"while":[167],"preserving":[168],"behavior":[171],"ABM.":[174],"also":[176],"show":[177],"be":[182,190],"for":[184],"out-of-sample":[185],"forecasting.":[186],"Our":[187],"seen":[191],"as":[192],"alternative":[194],"black-box":[196],"assimilation":[198],"methods,":[199],"forces":[201],"modeler":[203],"lay":[205],"bare":[206],"assumptions":[208],"think":[213],"about":[214],"inferential":[216],"process,":[217],"spot":[220],"potential":[221],"identification":[222],"problems.":[223]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4280501202","counts_by_year":[],"updated_date":"2024-12-15T18:02:24.815761","created_date":"2022-05-22"}