{"id":"https://openalex.org/W2013181156","doi":"https://doi.org/10.1007/s10994-013-5341-z","title":"Completing causal networks by meta-level abduction","display_name":"Completing causal networks by meta-level abduction","publication_year":2013,"publication_date":"2013-04-02","ids":{"openalex":"https://openalex.org/W2013181156","doi":"https://doi.org/10.1007/s10994-013-5341-z","mag":"2013181156"},"language":"en","primary_location":{"id":"doi:10.1007/s10994-013-5341-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-013-5341-z","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs10994-013-5341-z.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007%2Fs10994-013-5341-z.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080458729","display_name":"Katsumi Inoue","orcid":"https://orcid.org/0000-0002-2717-9122"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Katsumi Inoue","raw_affiliation_strings":["National Institute of Informatics, 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo, 101-8430, Japan","National Institute of Informatics, Chiyoda-ku, Japan 101-8430#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Informatics, 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo, 101-8430, Japan","institution_ids":["https://openalex.org/I184597095"]},{"raw_affiliation_string":"National Institute of Informatics, Chiyoda-ku, Japan 101-8430#TAB#","institution_ids":["https://openalex.org/I184597095"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028939653","display_name":"Andrei Doncescu","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I190497903","display_name":"Laboratoire d'Analyse et d'Architecture des Syst\u00e8mes","ror":"https://ror.org/03vcm6439","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I190497903","https://openalex.org/I193033237","https://openalex.org/I196454796","https://openalex.org/I205747304","https://openalex.org/I4210095849","https://openalex.org/I4210152422","https://openalex.org/I4210159245","https://openalex.org/I4405258862","https://openalex.org/I4405259414"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Andrei Doncescu","raw_affiliation_strings":["LAAS-CNRS UPR 8001, Avenue du Colonel Roche, 31007, Toulouse, France","LAAS-CNRS UPR 8001, Toulouse, France 31007#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LAAS-CNRS UPR 8001, Avenue du Colonel Roche, 31007, Toulouse, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I190497903"]},{"raw_affiliation_string":"LAAS-CNRS UPR 8001, Toulouse, France 31007#TAB#","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I190497903"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091014036","display_name":"Hidetomo Nabeshima","orcid":"https://orcid.org/0000-0003-3752-2518"},"institutions":[{"id":"https://openalex.org/I44892455","display_name":"Takeda (Japan)","ror":"https://ror.org/04hjbmv12","country_code":"JP","type":"company","lineage":["https://openalex.org/I44892455"]},{"id":"https://openalex.org/I66906201","display_name":"University of Yamanashi","ror":"https://ror.org/059x21724","country_code":"JP","type":"education","lineage":["https://openalex.org/I66906201"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hidetomo Nabeshima","raw_affiliation_strings":["Division of Medicine and Engineering Science, University of Yamanashi, 4-3-11 Takeda, Kofu, Yamanashi, 400-8511, Japan","Division of Medicine and Engineering Science, University of Yamanashi, Kofu, Japan 400-8511#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Medicine and Engineering Science, University of Yamanashi, 4-3-11 Takeda, Kofu, Yamanashi, 400-8511, Japan","institution_ids":["https://openalex.org/I44892455","https://openalex.org/I66906201"]},{"raw_affiliation_string":"Division of Medicine and Engineering Science, University of Yamanashi, Kofu, Japan 400-8511#TAB#","institution_ids":["https://openalex.org/I66906201"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5080458729"],"corresponding_institution_ids":["https://openalex.org/I184597095"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":8.3166,"has_fulltext":true,"cited_by_count":33,"citation_normalized_percentile":{"value":0.97063422,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"91","issue":"2","first_page":"239","last_page":"277"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9968000054359436,"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":0.9968000054359436,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9876000285148621,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/causal-inference","display_name":"Causal inference","score":0.7062768936157227},{"id":"https://openalex.org/keywords/meta-analysis","display_name":"Meta-analysis","score":0.6420044898986816},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6348210573196411},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5099970102310181},{"id":"https://openalex.org/keywords/causal-reasoning","display_name":"Causal reasoning","score":0.5054006576538086},{"id":"https://openalex.org/keywords/causal-structure","display_name":"Causal structure","score":0.49483078718185425},{"id":"https://openalex.org/keywords/causal-model","display_name":"Causal model","score":0.4538035988807678},{"id":"https://openalex.org/keywords/biological-network","display_name":"Biological network","score":0.43722009658813477},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4019230008125305},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2824043035507202},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.22794800996780396},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.21680688858032227},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.21506181359291077},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.1934751570224762},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.155727356672287},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.15027391910552979},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.12998798489570618},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08158418536186218}],"concepts":[{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.7062768936157227},{"id":"https://openalex.org/C95190672","wikidata":"https://www.wikidata.org/wiki/Q815382","display_name":"Meta-analysis","level":2,"score":0.6420044898986816},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6348210573196411},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5099970102310181},{"id":"https://openalex.org/C115086926","wikidata":"https://www.wikidata.org/wiki/Q17004651","display_name":"Causal reasoning","level":3,"score":0.5054006576538086},{"id":"https://openalex.org/C163504300","wikidata":"https://www.wikidata.org/wiki/Q2364925","display_name":"Causal structure","level":2,"score":0.49483078718185425},{"id":"https://openalex.org/C11671645","wikidata":"https://www.wikidata.org/wiki/Q5054567","display_name":"Causal model","level":2,"score":0.4538035988807678},{"id":"https://openalex.org/C28225019","wikidata":"https://www.wikidata.org/wiki/Q4915005","display_name":"Biological network","level":2,"score":0.43722009658813477},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4019230008125305},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2824043035507202},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.22794800996780396},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.21680688858032227},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.21506181359291077},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.1934751570224762},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.155727356672287},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.15027391910552979},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.12998798489570618},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08158418536186218},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10994-013-5341-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-013-5341-z","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs10994-013-5341-z.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-00999312v1","is_oa":false,"landing_page_url":"https://hal.science/hal-00999312","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Machine Learning, 2013, 91 (2), pp.239-277","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1007/s10994-013-5341-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-013-5341-z","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs10994-013-5341-z.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4873565876","display_name":"Inference-based Hypothesis-finding and its Application to Systems Biology","funder_award_id":"20240016","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G6204890270","display_name":"A study on a practical consequence finding system","funder_award_id":"23700164","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320325073","display_name":"Institut Claudius Regaud","ror":"https://ror.org/03pa87f90"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2013181156.pdf","grobid_xml":"https://content.openalex.org/works/W2013181156.grobid-xml"},"referenced_works_count":91,"referenced_works":["https://openalex.org/W34604352","https://openalex.org/W46480492","https://openalex.org/W129937576","https://openalex.org/W148709074","https://openalex.org/W163500809","https://openalex.org/W206455246","https://openalex.org/W234963275","https://openalex.org/W340492912","https://openalex.org/W386336003","https://openalex.org/W982919582","https://openalex.org/W1490475971","https://openalex.org/W1490861665","https://openalex.org/W1492321038","https://openalex.org/W1499053674","https://openalex.org/W1512750313","https://openalex.org/W1514335004","https://openalex.org/W1514971878","https://openalex.org/W1519481994","https://openalex.org/W1523775499","https://openalex.org/W1533347577","https://openalex.org/W1549285221","https://openalex.org/W1553971664","https://openalex.org/W1555419827","https://openalex.org/W1562535117","https://openalex.org/W1567213846","https://openalex.org/W1576436673","https://openalex.org/W1580842137","https://openalex.org/W1582467700","https://openalex.org/W1605578245","https://openalex.org/W1608059426","https://openalex.org/W1795691572","https://openalex.org/W1873314687","https://openalex.org/W1897158219","https://openalex.org/W1965184317","https://openalex.org/W1968020723","https://openalex.org/W1989711546","https://openalex.org/W1992602851","https://openalex.org/W1997388033","https://openalex.org/W2007235376","https://openalex.org/W2007940874","https://openalex.org/W2008933923","https://openalex.org/W2010087056","https://openalex.org/W2014758663","https://openalex.org/W2017898908","https://openalex.org/W2020153579","https://openalex.org/W2031895221","https://openalex.org/W2032194274","https://openalex.org/W2060843620","https://openalex.org/W2089819051","https://openalex.org/W2107261164","https://openalex.org/W2108020239","https://openalex.org/W2111221376","https://openalex.org/W2117127216","https://openalex.org/W2119831128","https://openalex.org/W2123538303","https://openalex.org/W2133532264","https://openalex.org/W2135498576","https://openalex.org/W2136636278","https://openalex.org/W2140812562","https://openalex.org/W2141776893","https://openalex.org/W2142679332","https://openalex.org/W2143891888","https://openalex.org/W2150097634","https://openalex.org/W2150695558","https://openalex.org/W2150703531","https://openalex.org/W2155322595","https://openalex.org/W2160533336","https://openalex.org/W2169641851","https://openalex.org/W2170736287","https://openalex.org/W2172056470","https://openalex.org/W2277514732","https://openalex.org/W2337263862","https://openalex.org/W2484153108","https://openalex.org/W2502886499","https://openalex.org/W2531826319","https://openalex.org/W2899987233","https://openalex.org/W2913954530","https://openalex.org/W4251379442","https://openalex.org/W4285719527","https://openalex.org/W4289767071","https://openalex.org/W4299328967","https://openalex.org/W4388252848","https://openalex.org/W4388298880","https://openalex.org/W6601908084","https://openalex.org/W6606579929","https://openalex.org/W6609181777","https://openalex.org/W6633151716","https://openalex.org/W6634694156","https://openalex.org/W6639429797","https://openalex.org/W6677599125","https://openalex.org/W6826164689"],"related_works":["https://openalex.org/W4386620154","https://openalex.org/W4389961576","https://openalex.org/W2740541622","https://openalex.org/W4361865420","https://openalex.org/W1600059215","https://openalex.org/W4294555408","https://openalex.org/W2131643694","https://openalex.org/W2784306284","https://openalex.org/W2161504683","https://openalex.org/W4378718308"],"abstract_inverted_index":{"Meta-level":[0],"abduction":[1,26,46,96,115],"is":[2],"a":[3,17,20,130,133],"method":[4,148],"to":[5,36,128,137],"abduce":[6],"missing":[7,28],"rules":[8],"in":[9,19,59,64,70,75,90,118,122],"explaining":[10],"observations.":[11,40],"By":[12],"representing":[13],"rule":[14],"structures":[15],"of":[16,22,44,113,146,154],"problem":[18],"form":[21],"causal":[23,54,104,124],"networks,":[24,121],"meta-level":[25,45,95,114],"infers":[27],"links":[29],"and":[30,52,102,136,162],"unknown":[31],"nodes":[32],"from":[33],"incomplete":[34],"networks":[35,48,57,76,156],"complete":[37],"paths":[38],"for":[39],"We":[41,92],"examine":[42],"applicability":[43],"on":[47],"containing":[49],"both":[50,100,160],"positive":[51,101,161],"negative":[53,103,163],"effects.":[55],"Such":[56],"appear":[58],"many":[60],"domains":[61],"including":[62],"biology,":[63],"which":[65,82,123],"inhibitory":[66],"effects":[67],"are":[68,116,126,149],"important":[69],"several":[71],"biological":[72],"pathways.":[73],"Reasoning":[74],"with":[77,132,159],"inhibition":[78],"involves":[79],"nonmonotonic":[80],"inference,":[81],"can":[83,97],"be":[84],"realized":[85],"by":[86],"making":[87],"default":[88],"assumptions":[89],"abduction.":[91],"show":[93],"that":[94],"consistently":[98],"produce":[99],"relations":[105,125],"as":[106,108],"well":[107],"invented":[109],"nodes.":[110],"Case":[111],"studies":[112],"presented":[117],"p53":[119],"signaling":[120],"abduced":[127],"suppress":[129],"tumor":[131],"new":[134],"protein":[135],"stop":[138],"DNA":[139],"synthesis":[140],"when":[141],"damage":[142],"has":[143],"occurred.":[144],"Effects":[145],"our":[147],"also":[150],"analyzed":[151],"through":[152],"experiments":[153],"completing":[155],"randomly":[157],"generated":[158],"links.":[164]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":4}],"updated_date":"2026-08-08T01:25:22.217667","created_date":"2025-10-10T00:00:00"}