{"id":"https://openalex.org/W3091100010","doi":"https://doi.org/10.3233/faia200522","title":"Deductive and Abductive Reasoning with Causal and Evidential Information","display_name":"Deductive and Abductive Reasoning with Causal and Evidential Information","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3091100010","doi":"https://doi.org/10.3233/faia200522","mag":"3091100010"},"language":"en","primary_location":{"id":"doi:10.3233/faia200522","is_oa":false,"landing_page_url":"https://doi.org/10.3233/faia200522","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://dspace.library.uu.nl/handle/1874/414564","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":"Wieten Remi","raw_affiliation_strings":["Utrecht University, Utrecht, The Netherlands"],"affiliations":[{"raw_affiliation_string":"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/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":"Bex Floris","raw_affiliation_strings":["Utrecht University, Utrecht, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Utrecht University, Utrecht, The Netherlands","institution_ids":["https://openalex.org/I193662353"]}]},{"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"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Prakken Henry","raw_affiliation_strings":["University of Groningen, Groningen, Netherlands"],"affiliations":[{"raw_affiliation_string":"University of Groningen, Groningen, Netherlands","institution_ids":["https://openalex.org/I169381384"]}]},{"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":"Renooij Silja","raw_affiliation_strings":["Utrecht University, Utrecht, The Netherlands"],"affiliations":[{"raw_affiliation_string":"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":null,"apc_paid":null,"fwci":1.3052,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.83572063,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"383","last_page":"394"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11010","display_name":"Logic, Reasoning, and Knowledge","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/T11010","display_name":"Logic, Reasoning, and Knowledge","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/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.9993000030517578,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9977999925613403,"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/abductive-reasoning","display_name":"Abductive reasoning","score":0.849206805229187},{"id":"https://openalex.org/keywords/deductive-reasoning","display_name":"Deductive reasoning","score":0.7855483293533325},{"id":"https://openalex.org/keywords/evidential-reasoning-approach","display_name":"Evidential reasoning approach","score":0.466370165348053},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40229281783103943},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31902027130126953},{"id":"https://openalex.org/keywords/decision-support-system","display_name":"Decision support system","score":0.056734055280685425}],"concepts":[{"id":"https://openalex.org/C166088908","wikidata":"https://www.wikidata.org/wiki/Q308495","display_name":"Abductive reasoning","level":2,"score":0.849206805229187},{"id":"https://openalex.org/C97364631","wikidata":"https://www.wikidata.org/wiki/Q484284","display_name":"Deductive reasoning","level":2,"score":0.7855483293533325},{"id":"https://openalex.org/C156201811","wikidata":"https://www.wikidata.org/wiki/Q5418360","display_name":"Evidential reasoning approach","level":4,"score":0.466370165348053},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40229281783103943},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31902027130126953},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.056734055280685425},{"id":"https://openalex.org/C97944126","wikidata":"https://www.wikidata.org/wiki/Q5001864","display_name":"Business decision mapping","level":3,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3233/faia200522","is_oa":false,"landing_page_url":"https://doi.org/10.3233/faia200522","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},{"id":"pmh:uu:oai:dspace.library.uu.nl:1874/414564","is_oa":true,"landing_page_url":"https://dspace.library.uu.nl/handle/1874/414564","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":"Computational Models of Argument, 326, 383. IOS Press","raw_type":"info:eu-repo/semantics/bookpart"},{"id":"mag:3091100010","is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/comma/comma2020.html#WietenBPR20","pdf_url":null,"source":{"id":"https://openalex.org/S4306417942","display_name":"Computational Models of Argument","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"Computational Models of Argument","raw_type":null}],"best_oa_location":{"id":"pmh:uu:oai:dspace.library.uu.nl:1874/414564","is_oa":true,"landing_page_url":"https://dspace.library.uu.nl/handle/1874/414564","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":"Computational Models of Argument, 326, 383. IOS Press","raw_type":"info:eu-repo/semantics/bookpart"},"sustainable_development_goals":[{"score":0.7900000214576721,"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W16460774","https://openalex.org/W586152901","https://openalex.org/W1604253166","https://openalex.org/W1991880520","https://openalex.org/W2000379270","https://openalex.org/W2006559750","https://openalex.org/W2015899729","https://openalex.org/W2104126268","https://openalex.org/W2109873999","https://openalex.org/W2143891888"],"related_works":["https://openalex.org/W2897247950","https://openalex.org/W2793985749","https://openalex.org/W2734696120","https://openalex.org/W2794737734","https://openalex.org/W2528462598","https://openalex.org/W2013030137","https://openalex.org/W2979079663","https://openalex.org/W2265157510","https://openalex.org/W3197096140","https://openalex.org/W3091100010"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,65,78],"propose":[4,79],"the":[5,16,36,63,69],"information":[6,61],"graph":[7],"(IG)":[8],"formalism,":[9],"which":[10],"provides":[11],"a":[12],"precise":[13],"account":[14],"of":[15],"interplay":[17],"between":[18],"deductive":[19],"and":[20,23,25,59],"abductive":[21],"inference":[22],"causal":[24,58],"evidential":[26,60],"information.":[27],"IGs":[28,85],"formalise":[29],"analyses":[30],"performed":[31,74],"by":[32],"domain":[33],"experts":[34],"in":[35,49],"informal":[37],"reasoning":[38,56],"tools":[39],"they":[40],"are":[41],"familiar":[42],"with,":[43],"such":[44],"as":[45],"mind":[46],"maps":[47],"used":[48],"crime":[50],"analysis.":[51],"Based":[52],"on":[53,68,84],"principles":[54],"for":[55],"with":[57,75],"given":[62],"evidence,":[64],"impose":[66],"constraints":[67],"inferences":[70],"that":[71,86],"may":[72],"be":[73,90],"IGs.":[76],"Moreover,":[77],"an":[80],"argumentation":[81],"formalism":[82],"based":[83],"allows":[87],"arguments":[88],"to":[89],"formally":[91],"evaluated.":[92]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}