{"id":"https://openalex.org/W2971357030","doi":"https://doi.org/10.1007/978-3-030-29765-7_9","title":"Constructing Bayesian Network Graphs from Labeled Arguments","display_name":"Constructing Bayesian Network Graphs from Labeled Arguments","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2971357030","doi":"https://doi.org/10.1007/978-3-030-29765-7_9","mag":"2971357030"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-29765-7_9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-29765-7_9","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://dspace.library.uu.nl/handle/1874/427793","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024510977","display_name":"Remi Wieten","orcid":"https://orcid.org/0000-0002-9570-2165"},"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":"Remi Wieten","raw_affiliation_strings":["Information and Computing Sciences, Utrecht University, Utrecht, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information and Computing Sciences, Utrecht University, Utrecht, The Netherlands","institution_ids":["https://openalex.org/I193662353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074300569","display_name":"Floris Bex","orcid":"https://orcid.org/0000-0002-5699-9656"},"institutions":[{"id":"https://openalex.org/I124486421","display_name":"TIAS School for Business and Society","ror":"https://ror.org/03q7ay915","country_code":"NL","type":"education","lineage":["https://openalex.org/I124486421"]},{"id":"https://openalex.org/I193662353","display_name":"Utrecht University","ror":"https://ror.org/04pp8hn57","country_code":"NL","type":"education","lineage":["https://openalex.org/I193662353"]},{"id":"https://openalex.org/I193700539","display_name":"Tilburg University","ror":"https://ror.org/04b8v1s79","country_code":"NL","type":"education","lineage":["https://openalex.org/I193700539"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Floris Bex","raw_affiliation_strings":["Information and Computing Sciences, Utrecht University, Utrecht, The Netherlands","Institute for Law, Technology and Society, Tilburg University, Tilburg, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information and Computing Sciences, Utrecht University, Utrecht, The Netherlands","institution_ids":["https://openalex.org/I193662353"]},{"raw_affiliation_string":"Institute for Law, Technology and Society, Tilburg University, Tilburg, The Netherlands","institution_ids":["https://openalex.org/I124486421","https://openalex.org/I193700539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020760288","display_name":"Henry Prakken","orcid":"https://orcid.org/0000-0002-3431-7757"},"institutions":[{"id":"https://openalex.org/I169381384","display_name":"University of Groningen","ror":"https://ror.org/012p63287","country_code":"NL","type":"education","lineage":["https://openalex.org/I169381384"]},{"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":false,"raw_author_name":"Henry Prakken","raw_affiliation_strings":["Faculty of Law, University of Groningen, Groningen, The Netherlands","Information and Computing Sciences, Utrecht University, Utrecht, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Law, University of Groningen, Groningen, The Netherlands","institution_ids":["https://openalex.org/I169381384"]},{"raw_affiliation_string":"Information and Computing Sciences, Utrecht University, Utrecht, The Netherlands","institution_ids":["https://openalex.org/I193662353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056922142","display_name":"Silja Renooij","orcid":"https://orcid.org/0000-0003-4339-8146"},"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":false,"raw_author_name":"Silja Renooij","raw_affiliation_strings":["Information and Computing Sciences, Utrecht University, Utrecht, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information and Computing Sciences, Utrecht University, Utrecht, The Netherlands","institution_ids":["https://openalex.org/I193662353"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5024510977"],"corresponding_institution_ids":["https://openalex.org/I193662353"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.4374,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.66940019,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"99","last_page":"110"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9998999834060669,"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":0.9998999834060669,"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/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.9865999817848206,"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/T11719","display_name":"Data Quality and Management","score":0.9706000089645386,"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/computer-science","display_name":"Computer science","score":0.7904108762741089},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.6971718072891235},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.6941538453102112},{"id":"https://openalex.org/keywords/causality","display_name":"Causality (physics)","score":0.6193141341209412},{"id":"https://openalex.org/keywords/argumentative","display_name":"Argumentative","score":0.601891815662384},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5577577948570251},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5428003072738647},{"id":"https://openalex.org/keywords/argument","display_name":"Argument (complex analysis)","score":0.5224651098251343},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5122293829917908},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4777509272098541},{"id":"https://openalex.org/keywords/causal-reasoning","display_name":"Causal reasoning","score":0.4663974642753601},{"id":"https://openalex.org/keywords/causal-inference","display_name":"Causal inference","score":0.4426475763320923},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4123748540878296},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3957812488079071},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13618487119674683},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.11707377433776855},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.10879310965538025},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.07971754670143127}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7904108762741089},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6971718072891235},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.6941538453102112},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.6193141341209412},{"id":"https://openalex.org/C2781306805","wikidata":"https://www.wikidata.org/wiki/Q4789761","display_name":"Argumentative","level":2,"score":0.601891815662384},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5577577948570251},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5428003072738647},{"id":"https://openalex.org/C98184364","wikidata":"https://www.wikidata.org/wiki/Q1780131","display_name":"Argument (complex analysis)","level":2,"score":0.5224651098251343},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5122293829917908},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4777509272098541},{"id":"https://openalex.org/C115086926","wikidata":"https://www.wikidata.org/wiki/Q17004651","display_name":"Causal reasoning","level":3,"score":0.4663974642753601},{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.4426475763320923},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4123748540878296},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3957812488079071},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13618487119674683},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.11707377433776855},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.10879310965538025},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.07971754670143127},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/978-3-030-29765-7_9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-29765-7_9","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:tilburguniversity.edu:openaire_cris_publications/be7d0620-a34a-4da6-ae09-68feb26ad5c1","is_oa":false,"landing_page_url":"https://research.tilburguniversity.edu/en/publications/be7d0620-a34a-4da6-ae09-68feb26ad5c1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401490","display_name":"Research portal (Tilburg University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193700539","host_organization_name":"Tilburg University","host_organization_lineage":["https://openalex.org/I193700539"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Wieten, R, Bex, F, Prakken, H & Renooij, S 2019, Constructing bayesian network graphs from labeled arguments. in G Kern-Isbender & Z Ognjanovi\u0107 (eds), Symbolic and quantitative approaches to reasoning with uncertainty : 15th European Conference, ECSQARU 2019, Belgrade, Serbia, September 18-20, 2019, proceedings. Lecture Notes in Artificial Intelligence, no. 11726, Springer, pp. 99-110. https://doi.org/10.1007/978-3-030-29765-7_9","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:uu:oai:dspace.library.uu.nl:1874/427793","is_oa":true,"landing_page_url":"https://dspace.library.uu.nl/handle/1874/427793","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 11726(1), 99. Springer Cham","raw_type":"info:eu-repo/semantics/bookpart"}],"best_oa_location":{"id":"pmh:uu:oai:dspace.library.uu.nl:1874/427793","is_oa":true,"landing_page_url":"https://dspace.library.uu.nl/handle/1874/427793","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 11726(1), 99. Springer Cham","raw_type":"info:eu-repo/semantics/bookpart"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W142636679","https://openalex.org/W1015225754","https://openalex.org/W1028871446","https://openalex.org/W1502046018","https://openalex.org/W1755360231","https://openalex.org/W1869439634","https://openalex.org/W1980423071","https://openalex.org/W1991880520","https://openalex.org/W1995121274","https://openalex.org/W2000379270","https://openalex.org/W2078438690","https://openalex.org/W2109873999","https://openalex.org/W2129713143","https://openalex.org/W2238009370","https://openalex.org/W2466066735","https://openalex.org/W2564807934","https://openalex.org/W2577373553","https://openalex.org/W2899229515","https://openalex.org/W2907323744","https://openalex.org/W2963683357","https://openalex.org/W3089168097","https://openalex.org/W4298191365"],"related_works":["https://openalex.org/W1506300690","https://openalex.org/W4307330737","https://openalex.org/W1547624382","https://openalex.org/W2054432254","https://openalex.org/W2804197927","https://openalex.org/W344802256","https://openalex.org/W2138976440","https://openalex.org/W4361865420","https://openalex.org/W4320159092","https://openalex.org/W2574301230"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}