{"id":"https://openalex.org/W2088582245","doi":"https://doi.org/10.1080/09528139650042556","title":"Unifying time and uncertainty for diagnosis","display_name":"Unifying time and uncertainty for diagnosis","publication_year":1996,"publication_date":"1996-01-01","ids":{"openalex":"https://openalex.org/W2088582245","doi":"https://doi.org/10.1080/09528139650042556","mag":"2088582245"},"language":"en","primary_location":{"id":"doi:10.1080/09528139650042556","is_oa":false,"landing_page_url":"https://doi.org/10.1080/09528139650042556","pdf_url":null,"source":{"id":"https://openalex.org/S153467142","display_name":"Journal of Experimental & Theoretical Artificial Intelligence","issn_l":"0952-813X","issn":["0952-813X","1362-3079"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Experimental & Theoretical Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054636708","display_name":"Eugene Santos","orcid":"https://orcid.org/0000-0003-2923-5113"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"EUGENE SANTOS","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5054636708"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1385,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.8410485,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"8","issue":"1","first_page":"75","last_page":"94"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10906","display_name":"AI-based Problem Solving and Planning","score":0.9986000061035156,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.9986000061035156,"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":0.9957000017166138,"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/computer-science","display_name":"Computer science","score":0.8946323394775391},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.4994332790374756},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4948527216911316},{"id":"https://openalex.org/keywords/abductive-reasoning","display_name":"Abductive reasoning","score":0.4829646646976471},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45441800355911255},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.4214520752429962}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8946323394775391},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.4994332790374756},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4948527216911316},{"id":"https://openalex.org/C166088908","wikidata":"https://www.wikidata.org/wiki/Q308495","display_name":"Abductive reasoning","level":2,"score":0.4829646646976471},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45441800355911255},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.4214520752429962},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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":2,"locations":[{"id":"doi:10.1080/09528139650042556","is_oa":false,"landing_page_url":"https://doi.org/10.1080/09528139650042556","pdf_url":null,"source":{"id":"https://openalex.org/S153467142","display_name":"Journal of Experimental & Theoretical Artificial Intelligence","issn_l":"0952-813X","issn":["0952-813X","1362-3079"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Experimental & Theoretical Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.44.2144","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.44.2144","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.eng2.uconn.edu/cse/IDIS/Papers/Journal/esj:jetai-96.ps.gz","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"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":18,"referenced_works":["https://openalex.org/W16460774","https://openalex.org/W284629942","https://openalex.org/W1511162116","https://openalex.org/W1528419757","https://openalex.org/W1540899940","https://openalex.org/W1966867162","https://openalex.org/W1973309770","https://openalex.org/W1988866648","https://openalex.org/W2113634327","https://openalex.org/W2130182605","https://openalex.org/W2134439162","https://openalex.org/W2153877089","https://openalex.org/W2159080219","https://openalex.org/W2161484642","https://openalex.org/W2170489073","https://openalex.org/W2914728526","https://openalex.org/W4301808069","https://openalex.org/W6630581270"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3209574120","https://openalex.org/W3107602296","https://openalex.org/W4312192474","https://openalex.org/W4210805261","https://openalex.org/W4387297750"],"abstract_inverted_index":{"Existing":[0],"models":[1,35,66],"of":[2,9,45,94,105,114],"diagnosis":[3,89],"have":[4],"not":[5],"unified":[6],"the":[7,102,130,137],"notions":[8],"time,":[10],"uncertainty":[11],"and":[12,26,40,48,64,67,87,96],"abduction":[13],"which":[14,34],"are":[15,51],"necessary":[16,134],"in":[17],"domains":[18,78,139],"such":[19,79],"as":[20,80,140],"clinical":[21,81],"diagnosis,":[22,83],"dynamic":[23,84],"systems":[24,85],"modeling,":[25],"fault":[27,88],"diagnosis.":[28],"We":[29,127],"present":[30],"a":[31,69,111],"new":[32],"approach":[33,59],"information":[36],"through":[37],"linear":[38],"constraints":[39],"find":[41],"that":[42],"many":[43],"aspects":[44],"our":[46],"knowledge-base":[47],"inferencing":[49],"mechanism":[50],"naturally":[52],"suited":[53],"towards":[54],"these":[55],"constraints.":[56],"Furthermore,":[57],"this":[58],"properly":[60],"subsumes":[61],"existing":[62],"abductive":[63],"temporal":[65],"provides":[68],"precise":[70],"framework":[71],"for":[72,110,135],"explanatory":[73],"reasoning.":[74],"1":[75],"Introduction":[76],"Many":[77],"medical":[82],"modeling":[86,136],"require":[90],"an":[91],"accurate":[92],"representation":[93],"time":[95],"causal":[97],"relationships.":[98],"Add":[99],"to":[100,116],"that,":[101],"natural":[103],"problems":[104],"dealing":[106],"with":[107],"uncertainty,":[108],"makes":[109],"difficult":[112],"task":[113],"trying":[115],"develop":[117],"any":[118],"reasonable":[119],"model":[120],"let":[121],"alone":[122],"even":[123],"consider":[124],"algorithmic":[125],"details.":[126],"can":[128],"identify":[129],"three":[131],"major":[132],"components":[133],"above":[138],"follows:":[141],"ff...":[142]},"counts_by_year":[{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}