{"id":"https://openalex.org/W2905465067","doi":"https://doi.org/10.1609/aaai.v33i01.33012678","title":"Abstracting Causal Models","display_name":"Abstracting Causal Models","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2905465067","doi":"https://doi.org/10.1609/aaai.v33i01.33012678","mag":"2905465067"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.33012678","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33012678","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4117/3995","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4117/3995","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059414655","display_name":"Sander Beckers","orcid":"https://orcid.org/0000-0002-9202-0644"},"institutions":[{"id":"https://openalex.org/I193662353","display_name":"Utrecht University","ror":"https://ror.org/04pp8hn57","country_code":"NL","type":"education","lineage":["https://openalex.org/I193662353"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Sander Beckers","raw_affiliation_strings":["Utrecht University"],"affiliations":[{"raw_affiliation_string":"Utrecht University","institution_ids":["https://openalex.org/I193662353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087025582","display_name":"Joseph Y. Halpern","orcid":"https://orcid.org/0000-0002-9229-1663"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joseph Y. Halpern","raw_affiliation_strings":["Cornell University"],"affiliations":[{"raw_affiliation_string":"Cornell University","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5059414655"],"corresponding_institution_ids":["https://openalex.org/I193662353"],"apc_list":null,"apc_paid":null,"fwci":3.1922,"has_fulltext":true,"cited_by_count":45,"citation_normalized_percentile":{"value":0.92858349,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"33","issue":"01","first_page":"2678","last_page":"2685"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9922999739646912,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9922999739646912,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.8734941482543945},{"id":"https://openalex.org/keywords/causal-model","display_name":"Causal model","score":0.6840333938598633},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6422216892242432},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5318647623062134},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5224810242652893},{"id":"https://openalex.org/keywords/psychological-intervention","display_name":"Psychological intervention","score":0.46193090081214905},{"id":"https://openalex.org/keywords/causality","display_name":"Causality (physics)","score":0.4543024003505707},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.44395095109939575},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36671555042266846},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29242420196533203},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.20142623782157898},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.19912725687026978},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19031354784965515},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1328522264957428}],"concepts":[{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.8734941482543945},{"id":"https://openalex.org/C11671645","wikidata":"https://www.wikidata.org/wiki/Q5054567","display_name":"Causal model","level":2,"score":0.6840333938598633},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6422216892242432},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5318647623062134},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5224810242652893},{"id":"https://openalex.org/C27415008","wikidata":"https://www.wikidata.org/wiki/Q7256382","display_name":"Psychological intervention","level":2,"score":0.46193090081214905},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.4543024003505707},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.44395095109939575},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36671555042266846},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29242420196533203},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.20142623782157898},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.19912725687026978},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19031354784965515},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1328522264957428},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v33i01.33012678","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33012678","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4117/3995","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.33012678","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33012678","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4117/3995","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6600000262260437,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G1099727487","display_name":"RI: Medium: Computation, Language, and Games","funder_award_id":"1703846","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4833924635","display_name":null,"funder_award_id":"W911NF-17-1-0592","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G6338813087","display_name":null,"funder_award_id":"IIS-1703846","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6932709954","display_name":null,"funder_award_id":"IIS-1718108","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7452299184","display_name":null,"funder_award_id":"W911NF","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G7542956135","display_name":"RI: Small: Towards a Formal Theory of Blameworthiness, Intention, and Moral Responsibility","funder_award_id":"1718108","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8998121839","display_name":null,"funder_award_id":"911NF","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306621","display_name":"Belgian American Educational Foundation","ror":"https://ror.org/014rsed66"},{"id":"https://openalex.org/F4320315389","display_name":"Open Philanthropy Project","ror":"https://ror.org/004d1k391"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2905465067.pdf","grobid_xml":"https://content.openalex.org/works/W2905465067.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W1574274648","https://openalex.org/W1931477419","https://openalex.org/W2035314812","https://openalex.org/W2082293106","https://openalex.org/W2137819283","https://openalex.org/W2160448328","https://openalex.org/W2604896086","https://openalex.org/W2730040196","https://openalex.org/W2783683825","https://openalex.org/W2962988477","https://openalex.org/W2963901280","https://openalex.org/W6640570924","https://openalex.org/W6659133257","https://openalex.org/W6692812177","https://openalex.org/W6758479639","https://openalex.org/W7075292137"],"related_works":["https://openalex.org/W4254692452","https://openalex.org/W2329321154","https://openalex.org/W2018580387","https://openalex.org/W4312269093","https://openalex.org/W2966803129","https://openalex.org/W3170261037","https://openalex.org/W2953704208","https://openalex.org/W3135588948","https://openalex.org/W4210420802","https://openalex.org/W2574301230"],"abstract_inverted_index":{"We":[0,98],"consider":[1],"a":[2,16,35,91],"sequence":[3],"of":[4,9,37,58,67,109,112],"successively":[5],"more":[6,85],"restrictive":[7],"definitions":[8],"abstraction":[10],"for":[11,102],"causal":[12,31,44],"models,":[13,32],"starting":[14],"with":[15],"notion":[17,36,111],"introduced":[18],"by":[19,54,71,121],"Rubenstein":[20,122],"et":[21,123],"al.":[22,124],"(2017)":[23],"called":[24],"exact":[25],"transformation":[26,39],"that":[27,40,100],"applies":[28,41],"to":[29,34,42,51,62,77],"probabilistic":[30],"moving":[33],"uniform":[38],"deterministic":[43],"models":[45],"and":[46,60,80],"does":[47],"not":[48,93],"allow":[49],"differences":[50],"be":[52],"hidden":[53],"the":[55,65,72,95,118],"\u201cright\u201d":[56],"choice":[57],"distribution,":[59],"then":[61],"abstraction,":[63,82,114],"where":[64],"interventions":[66,89],"interest":[68],"are":[69,107,116],"determined":[70],"map":[73],"from":[74],"low-level":[75],"states":[76],"high-level":[78],"states,":[79],"strong":[81,113],"which":[83],"takes":[84],"seriously":[86],"all":[87,117],"potential":[88],"in":[90],"model,":[92],"just":[94],"allowed":[96],"interventions.":[97],"show":[99],"procedures":[101],"combining":[103],"micro-variables":[104],"into":[105],"macro-variables":[106],"instances":[108],"our":[110],"as":[115],"examples":[119],"considered":[120]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}