{"id":"https://openalex.org/W2890174694","doi":"https://doi.org/10.23919/icif.2018.8455642","title":"Evidence Gathering for Hypothesis Resolution Using Judicial Evidential Reasoning","display_name":"Evidence Gathering for Hypothesis Resolution Using Judicial Evidential Reasoning","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2890174694","doi":"https://doi.org/10.23919/icif.2018.8455642","mag":"2890174694"},"language":"en","primary_location":{"id":"doi:10.23919/icif.2018.8455642","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icif.2018.8455642","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 21st International Conference on Information Fusion (FUSION)","raw_type":"proceedings-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/A5016695577","display_name":"Andris D. Jaunzemis","orcid":"https://orcid.org/0000-0003-2774-2648"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Andris D. Jaunzemis","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, Georgia"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, Georgia","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066606035","display_name":"Marcus J. Holzinger","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marcus J. Holzinger","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, Georgia"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, Georgia","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090187764","display_name":"Moses W. Chan","orcid":"https://orcid.org/0000-0002-4188-8953"},"institutions":[{"id":"https://openalex.org/I1287521167","display_name":"Lockheed Martin (United States)","ror":"https://ror.org/026er9r08","country_code":"US","type":"company","lineage":["https://openalex.org/I1287521167"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Moses W. Chan","raw_affiliation_strings":["Lockheed Martin Corporation, Sunnyvale, CA, USA"],"affiliations":[{"raw_affiliation_string":"Lockheed Martin Corporation, Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I1287521167"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088692281","display_name":"Prakash P. Shenoy","orcid":"https://orcid.org/0000-0002-8425-896X"},"institutions":[{"id":"https://openalex.org/I146416000","display_name":"University of Kansas","ror":"https://ror.org/001tmjg57","country_code":"US","type":"education","lineage":["https://openalex.org/I146416000"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Prakash P. Shenoy","raw_affiliation_strings":["University of Kansas, Lawrence, KS, USA"],"affiliations":[{"raw_affiliation_string":"University of Kansas, Lawrence, KS, USA","institution_ids":["https://openalex.org/I146416000"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5016695577"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":0.4886,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73048556,"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":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9990000128746033,"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":0.9990000128746033,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.9983999729156494,"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":0.995199978351593,"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/ambiguity","display_name":"Ambiguity","score":0.7251444458961487},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6677972674369812},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.6143004298210144},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5754218697547913},{"id":"https://openalex.org/keywords/impartiality","display_name":"Impartiality","score":0.558799147605896},{"id":"https://openalex.org/keywords/evidential-reasoning-approach","display_name":"Evidential reasoning approach","score":0.5555049180984497},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5388535857200623},{"id":"https://openalex.org/keywords/decision-maker","display_name":"Decision maker","score":0.5267771482467651},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.49134841561317444},{"id":"https://openalex.org/keywords/decision-theory","display_name":"Decision theory","score":0.47099465131759644},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4424280524253845},{"id":"https://openalex.org/keywords/dempster\u2013shafer-theory","display_name":"Dempster\u2013Shafer theory","score":0.42689359188079834},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.21107342839241028},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19721606373786926},{"id":"https://openalex.org/keywords/decision-support-system","display_name":"Decision support system","score":0.19211715459823608},{"id":"https://openalex.org/keywords/business-decision-mapping","display_name":"Business decision mapping","score":0.1160610020160675}],"concepts":[{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.7251444458961487},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6677972674369812},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.6143004298210144},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5754218697547913},{"id":"https://openalex.org/C2780564088","wikidata":"https://www.wikidata.org/wiki/Q3149193","display_name":"Impartiality","level":2,"score":0.558799147605896},{"id":"https://openalex.org/C156201811","wikidata":"https://www.wikidata.org/wiki/Q5418360","display_name":"Evidential reasoning approach","level":4,"score":0.5555049180984497},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5388535857200623},{"id":"https://openalex.org/C2986080485","wikidata":"https://www.wikidata.org/wiki/Q1331926","display_name":"Decision maker","level":2,"score":0.5267771482467651},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.49134841561317444},{"id":"https://openalex.org/C28901747","wikidata":"https://www.wikidata.org/wiki/Q177571","display_name":"Decision theory","level":2,"score":0.47099465131759644},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4424280524253845},{"id":"https://openalex.org/C178011137","wikidata":"https://www.wikidata.org/wiki/Q285997","display_name":"Dempster\u2013Shafer theory","level":2,"score":0.42689359188079834},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.21107342839241028},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19721606373786926},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.19211715459823608},{"id":"https://openalex.org/C97944126","wikidata":"https://www.wikidata.org/wiki/Q5001864","display_name":"Business decision mapping","level":3,"score":0.1160610020160675},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/icif.2018.8455642","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icif.2018.8455642","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 21st International Conference on Information Fusion (FUSION)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W257879438","https://openalex.org/W344452121","https://openalex.org/W1983362288","https://openalex.org/W1991922226","https://openalex.org/W1996197916","https://openalex.org/W2020797150","https://openalex.org/W2025951011","https://openalex.org/W2027047704","https://openalex.org/W2034470756","https://openalex.org/W2048501811","https://openalex.org/W2096568892","https://openalex.org/W2110017066","https://openalex.org/W2147565737","https://openalex.org/W2157803532","https://openalex.org/W2461848418","https://openalex.org/W2590498657","https://openalex.org/W4205844716","https://openalex.org/W4240458456","https://openalex.org/W6609581996","https://openalex.org/W6611770896"],"related_works":["https://openalex.org/W2351346819","https://openalex.org/W2354401597","https://openalex.org/W4296215420","https://openalex.org/W1890965271","https://openalex.org/W2382262264","https://openalex.org/W1986822856","https://openalex.org/W2134163741","https://openalex.org/W2116016866","https://openalex.org/W2348281189","https://openalex.org/W2004956057"],"abstract_inverted_index":{"Realistic":[0],"decision-making":[1],"often":[2],"occurs":[3],"with":[4],"insufficient":[5],"time":[6],"to":[7,43,60,76,100,117,120],"gather":[8],"all":[9],"possible":[10],"evidence":[11],"before":[12],"a":[13,101],"decision":[14],"must":[15],"be":[16],"rendered,":[17],"requiring":[18],"efficient":[19],"processes":[20],"for":[21,91],"prioritizing":[22],"between":[23],"candidate":[24],"action":[25],"sequences.":[26],"The":[27,109],"proposed":[28,72],"Judicial":[29],"Evidential":[30],"Reasoning":[31],"framework":[32],"encodes":[33],"decision-maker":[34],"questions":[35],"as":[36],"rigorously":[37],"testable":[38],"hypotheses":[39,46],"and":[40,53,64,67,74,97,115],"proposes":[41],"actions":[42],"resolve":[44],"the":[45,48,85],"in":[47],"face":[49],"of":[50,84],"ambiguous,":[51],"incomplete,":[52],"uncertain":[54],"evidence.":[55,123],"Dempster-Shafer":[56],"theory":[57],"is":[58,71],"applied":[59],"model":[61],"hypothesis":[62,113],"knowledge":[63],"quantify":[65],"ambiguity,":[66],"an":[68],"equal-effort":[69],"heuristic":[70],"time-efficiency":[73],"impartiality":[75],"combat":[77],"confirmation":[78],"bias.":[79],"This":[80],"work":[81],"includes":[82],"derivation":[83],"generalized":[86],"formulation,":[87],"computational":[88],"tractability":[89],"considerations":[90],"improved":[92],"performance,":[93],"several":[94],"illustrative":[95],"examples,":[96],"sample":[98],"application":[99],"space":[102],"situational":[103],"awareness":[104],"sensor":[105],"network":[106],"tasking":[107],"scenario.":[108],"results":[110],"show":[111],"strong":[112],"resolution":[114],"robustness":[116],"fixation":[118],"due":[119],"poor":[121],"prior":[122]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
