{"id":"https://openalex.org/W2963683357","doi":"https://doi.org/10.1145/3322640.3326710","title":"Supporting Discussions About Forensic Bayesian Networks Using Argumentation","display_name":"Supporting Discussions About Forensic Bayesian Networks Using Argumentation","publication_year":2019,"publication_date":"2019-06-17","ids":{"openalex":"https://openalex.org/W2963683357","doi":"https://doi.org/10.1145/3322640.3326710","mag":"2963683357"},"language":"en","primary_location":{"id":"doi:10.1145/3322640.3326710","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3322640.3326710","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Seventeenth International Conference on Artificial Intelligence and Law","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://dspace.library.uu.nl/handle/1874/386079","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":false,"raw_author_name":"Remi Wieten","raw_affiliation_strings":["Department of Information and Computing Sciences, Utrecht University, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Computing Sciences, Utrecht University, 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/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":["Department of Information and Computing Sciences, Utrecht University, The Netherlands, Institute for Law, Technology and Society, Tilburg University, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Computing Sciences, Utrecht University, The Netherlands, Institute for Law, Technology and Society, Tilburg University, The Netherlands","institution_ids":["https://openalex.org/I193662353","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":["Department of Information and Computing Sciences, Utrecht University, The Netherlands, University of Groningen, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Computing Sciences, Utrecht University, The Netherlands, University of Groningen, The Netherlands","institution_ids":["https://openalex.org/I169381384","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":["Department of Information and Computing Sciences, Utrecht University, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Computing Sciences, Utrecht University, The Netherlands","institution_ids":["https://openalex.org/I193662353"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6561,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.74647666,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"143","last_page":"152"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.9972000122070312,"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/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.9972000122070312,"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/T13643","display_name":"Artificial Intelligence in Law","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9948999881744385,"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/argumentation-theory","display_name":"Argumentation theory","score":0.9180439114570618},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.7974247932434082},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.627330482006073},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.626294732093811},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5814226269721985},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4369002878665924},{"id":"https://openalex.org/keywords/argumentation-framework","display_name":"Argumentation framework","score":0.4294429421424866},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38316041231155396},{"id":"https://openalex.org/keywords/management-science","display_name":"Management science","score":0.36452239751815796},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.28459370136260986},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.129927396774292},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0751078724861145}],"concepts":[{"id":"https://openalex.org/C65059942","wikidata":"https://www.wikidata.org/wiki/Q270105","display_name":"Argumentation theory","level":2,"score":0.9180439114570618},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.7974247932434082},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.627330482006073},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.626294732093811},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5814226269721985},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4369002878665924},{"id":"https://openalex.org/C2779607372","wikidata":"https://www.wikidata.org/wiki/Q4789757","display_name":"Argumentation framework","level":3,"score":0.4294429421424866},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38316041231155396},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.36452239751815796},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.28459370136260986},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.129927396774292},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0751078724861145},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3322640.3326710","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3322640.3326710","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Seventeenth International Conference on Artificial Intelligence and Law","raw_type":"proceedings-article"},{"id":"pmh:oai:tilburguniversity.edu:openaire_cris_publications/b53c24d9-4171-4f48-86d1-1771db354aa2","is_oa":false,"landing_page_url":"https://research.tilburguniversity.edu/en/publications/b53c24d9-4171-4f48-86d1-1771db354aa2","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, Supporting discussions about forensic Bayesian networks using argumentation. in ICAIL '19 : Proceedings of the seventeenth International Conference on Artificial Intelligence and Law. ACM, pp. 143-152. https://doi.org/10.1145/3322640.3326710","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:uu:oai:dspace.library.uu.nl:1874/386079","is_oa":true,"landing_page_url":"https://dspace.library.uu.nl/handle/1874/386079","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":"ICAIL '19, 143. Association for Computing Machinery (ACM)","raw_type":"info:eu-repo/semantics/bookpart"}],"best_oa_location":{"id":"pmh:uu:oai:dspace.library.uu.nl:1874/386079","is_oa":true,"landing_page_url":"https://dspace.library.uu.nl/handle/1874/386079","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":"ICAIL '19, 143. Association for Computing Machinery (ACM)","raw_type":"info:eu-repo/semantics/bookpart"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W51792958","https://openalex.org/W300456362","https://openalex.org/W581684831","https://openalex.org/W1015225754","https://openalex.org/W1552524841","https://openalex.org/W1755360231","https://openalex.org/W1980423071","https://openalex.org/W1995121274","https://openalex.org/W2071122890","https://openalex.org/W2099613469","https://openalex.org/W2104126268","https://openalex.org/W2129713143","https://openalex.org/W2167536963","https://openalex.org/W2307523322","https://openalex.org/W2407949943","https://openalex.org/W2466066735","https://openalex.org/W2483044698","https://openalex.org/W2519350072","https://openalex.org/W2564807934","https://openalex.org/W2896758718","https://openalex.org/W2907323744","https://openalex.org/W3089168097","https://openalex.org/W6713967887","https://openalex.org/W6730473002"],"related_works":["https://openalex.org/W124110387","https://openalex.org/W3216091191","https://openalex.org/W2052903087","https://openalex.org/W47899866","https://openalex.org/W1560931420","https://openalex.org/W2219393274","https://openalex.org/W2583952061","https://openalex.org/W2408333498","https://openalex.org/W2050214921","https://openalex.org/W52290235"],"abstract_inverted_index":{"Bayesian":[0],"networks":[1],"(BNs)":[2],"are":[3,7,64,91],"powerful":[4],"tools":[5],"that":[6,22,104,123],"increasingly":[8],"being":[9],"used":[10],"by":[11],"forensic":[12,150],"and":[13,71,111,116,122],"legal":[14,67],"experts":[15,68,83,107,152],"to":[16,40,69,95,108],"reason":[17],"about":[18],"the":[19,27,42,45,58,86,141],"uncertain":[20],"conclusions":[21],"can":[23],"be":[24],"inferred":[25],"from":[26],"evidence":[28],"in":[29,33,85,139],"a":[30,136],"case.":[31],"Although":[32],"BN":[34,151],"construction":[35,87],"it":[36],"is":[37,133,153],"good":[38],"practice":[39],"document":[41],"model":[43],"itself,":[44],"importance":[46],"of":[47,75,88,144],"documenting":[48],"design":[49],"decisions":[50,119],"has":[51],"received":[52],"little":[53],"attention.":[54],"Such":[55],"decisions,":[56],"including":[57],"(possibly":[59],"conflicting)":[60],"reasons":[61,114],"behind":[62],"them,":[63],"important":[65],"for":[66],"understand":[70],"accept":[72],"probabilistic":[73],"models":[74],"cases.":[76],"Moreover,":[77],"when":[78],"disagreements":[79,126],"arise":[80],"between":[81,148],"domain":[82,106],"involved":[84],"BNs,":[89],"there":[90],"no":[92],"systematic":[93],"means":[94],"resolve":[96],"such":[97],"disagreements.":[98],"Therefore,":[99],"we":[100],"propose":[101],"an":[102,145],"approach":[103,132],"allows":[105],"explicitly":[109],"express":[110],"capture":[112],"their":[113,125],"pro":[115],"con":[117],"modelling":[118],"using":[120],"argumentation,":[121],"resolves":[124],"as":[127,129],"much":[128],"possible.":[130],"Our":[131],"based":[134],"on":[135],"case":[137],"study,":[138],"which":[140],"argumentation":[142],"structure":[143],"actual":[146],"disagreement":[147],"two":[149],"analysed.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2019-07-30T00:00:00"}