{"id":"https://openalex.org/W4407775542","doi":"https://doi.org/10.3233/978-1-58603-891-5-214","title":"Hierarchical explanation of inference in Bayesian networks that represent a population of independent agents","display_name":"Hierarchical explanation of inference in Bayesian networks that represent a population of independent agents","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W4407775542","doi":"https://doi.org/10.3233/978-1-58603-891-5-214"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-58603-891-5-214","is_oa":true,"landing_page_url":"https://doi.org/10.3233/978-1-58603-891-5-214","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":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","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":"hybrid","oa_url":"https://doi.org/10.3233/978-1-58603-891-5-214","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082027439","display_name":"Szabolcs P\u00e9ter","orcid":"https://orcid.org/0000-0002-6427-1606"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Šutovský Peter","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5013977304","display_name":"C. Hern\u00e1ndez","orcid":"https://orcid.org/0000-0002-4757-5309"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cooper Gregory F.","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5082027439"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.40807097,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9451000094413757,"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":0.9451000094413757,"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/inference","display_name":"Inference","score":0.6540316343307495},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.5347764492034912},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5198922157287598},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5056092739105225},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4485895037651062},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3981333374977112},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.37296900153160095},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2820615768432617}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6540316343307495},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.5347764492034912},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5198922157287598},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5056092739105225},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4485895037651062},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3981333374977112},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.37296900153160095},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2820615768432617}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/978-1-58603-891-5-214","is_oa":true,"landing_page_url":"https://doi.org/10.3233/978-1-58603-891-5-214","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":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/978-1-58603-891-5-214","is_oa":true,"landing_page_url":"https://doi.org/10.3233/978-1-58603-891-5-214","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":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2372267530","https://openalex.org/W2969189870","https://openalex.org/W3015855446","https://openalex.org/W2965643117","https://openalex.org/W4303857162","https://openalex.org/W2407375987","https://openalex.org/W3049691116","https://openalex.org/W2505726097","https://openalex.org/W2950975704","https://openalex.org/W2010643158"],"abstract_inverted_index":{"This":[0,100],"paper":[1,101],"describes":[2,102],"a":[3,17,29,71,84,96,106,139,148,152],"novel":[4],"method":[5],"for":[6,132,147],"explaining":[7,133,143],"Bayesian":[8],"network":[9,14],"(BN)":[10],"inference":[11,120,134,146],"when":[12],"the":[13,38,49,66,103,144],"is":[15,26,75,93,115],"modeling":[16],"population":[18],"of":[19,24,105],"conditionally":[20,125],"independent":[21,126],"agents,":[22],"each":[23],"which":[25,37],"modeled":[27,44],"as":[28,45,61],"subnetwork.":[30],"For":[31],"example,":[32],"consider":[33],"disease-outbreak":[34],"detection,":[35],"in":[36,117,121],"agents":[39],"are":[40,43],"patients":[41],"who":[42,81],"independent,":[46],"conditioned":[47],"on":[48,135],"factors":[50],"that":[51,65,70,108,123,137,154,157],"cause":[52],"disease":[53],"spread.":[54],"Given":[55],"evidence":[56],"about":[57],"these":[58],"patients,":[59],"such":[60,83,110],"their":[62],"symptoms,":[63],"suppose":[64],"BN":[67,153],"system":[68,107],"infers":[69],"respiratory":[72],"anthrax":[73,92],"outbreak":[74],"highly":[76],"likely.":[77],"A":[78],"public-health":[79],"official":[80],"received":[82],"report":[85],"would":[86],"generally":[87],"want":[88],"to":[89,119],"know":[90],"why":[91],"being":[94],"given":[95],"high":[97],"posterior":[98],"probability.":[99],"design":[104],"explains":[109],"inferences.":[111],"The":[112],"explanation":[113],"approach":[114],"applicable":[116],"general":[118],"BNs":[122,136],"model":[124,138],"agents;":[127],"it":[128],"complements":[129],"previous":[130],"approaches":[131],"single":[140,149],"agent":[141],"(e.g.,":[142],"diagnostic":[145],"patient":[150],"using":[151],"models":[155],"just":[156],"patient).":[158]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}