{"id":"https://openalex.org/W2143908766","doi":"https://doi.org/10.1109/acc.2006.1657689","title":"A Bayesian network framework for stochastic discrete-event control","display_name":"A Bayesian network framework for stochastic discrete-event control","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2143908766","doi":"https://doi.org/10.1109/acc.2006.1657689","mag":"2143908766"},"language":"en","primary_location":{"id":"doi:10.1109/acc.2006.1657689","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acc.2006.1657689","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 American Control Conference","raw_type":"proceedings-article"},"type":"conference-paper","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/A5068963019","display_name":"Gregory Provan","orcid":"https://orcid.org/0000-0003-3678-046X"},"institutions":[{"id":"https://openalex.org/I27577105","display_name":"University College Cork","ror":"https://ror.org/03265fv13","country_code":"IE","type":"education","lineage":["https://openalex.org/I27577105"]}],"countries":["IE"],"is_corresponding":true,"raw_author_name":"G. Provan","raw_affiliation_strings":["Computer Science Department, University College Cork, Cork, Ireland","[Dept. of Computer Science, University College, Cork, Ireland]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, University College Cork, Cork, Ireland","institution_ids":["https://openalex.org/I27577105"]},{"raw_affiliation_string":"[Dept. of Computer Science, University College, Cork, Ireland]","institution_ids":["https://openalex.org/I27577105"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5068963019"],"corresponding_institution_ids":["https://openalex.org/I27577105"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6 pp.","last_page":"6 pp."},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9976999759674072,"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":0.9976999759674072,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9789000153541565,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10703","display_name":"Business Process Modeling and Analysis","score":0.9785000085830688,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7410560846328735},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.6347907781600952},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.521844744682312},{"id":"https://openalex.org/keywords/variable-order-bayesian-network","display_name":"Variable-order Bayesian network","score":0.4942212402820587},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.4678020775318146},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.43555426597595215},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.42171579599380493},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41625362634658813},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.39514079689979553},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3802414536476135},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.35836008191108704},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1795884370803833}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7410560846328735},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.6347907781600952},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.521844744682312},{"id":"https://openalex.org/C71983512","wikidata":"https://www.wikidata.org/wiki/Q7915687","display_name":"Variable-order Bayesian network","level":4,"score":0.4942212402820587},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.4678020775318146},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.43555426597595215},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.42171579599380493},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41625362634658813},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.39514079689979553},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3802414536476135},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35836008191108704},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1795884370803833},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acc.2006.1657689","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acc.2006.1657689","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 American Control Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W175821084","https://openalex.org/W1568586930","https://openalex.org/W1587619098","https://openalex.org/W1587663028","https://openalex.org/W1593793857","https://openalex.org/W1991133427","https://openalex.org/W2016271599","https://openalex.org/W2029321550","https://openalex.org/W2059057465","https://openalex.org/W2120781855","https://openalex.org/W2122092249","https://openalex.org/W2143239742","https://openalex.org/W2146423256","https://openalex.org/W2148018895","https://openalex.org/W2158178400","https://openalex.org/W2476409049","https://openalex.org/W2913758949","https://openalex.org/W4212875940","https://openalex.org/W4250143236","https://openalex.org/W4297744580","https://openalex.org/W6607219637","https://openalex.org/W6657595581","https://openalex.org/W6680781928"],"related_works":["https://openalex.org/W2383034311","https://openalex.org/W2592745513","https://openalex.org/W643788828","https://openalex.org/W2391701421","https://openalex.org/W201565394","https://openalex.org/W2353852789","https://openalex.org/W4309448762","https://openalex.org/W1700460858","https://openalex.org/W4211221765","https://openalex.org/W2417824324"],"abstract_inverted_index":{"This":[0],"article":[1],"focuses":[2],"on":[3,79],"the":[4,47,62],"use":[5],"of":[6,26,36,50,64],"Bayesian":[7,14,58,66],"networks":[8,15],"for":[9,19],"stochastic":[10,52],"discrete-event":[11,53],"control":[12,54],"applications.":[13],"offer":[16],"several":[17],"advantages":[18],"such":[20],"applications,":[21],"including":[22],"a":[23,51,57,65,70,80],"well-developed":[24],"suite":[25],"efficient":[27],"inference":[28],"algorithms,":[29],"model":[30,37],"generality":[31],"and":[32,34],"compactness,":[33],"ease":[35],"construction":[38],"and/or":[39],"model-learning.":[40],"We":[41,60,75],"show":[42],"how":[43],"we":[44],"can":[45],"formalise":[46],"control-theoretic":[48],"semantics":[49],"representation":[55],"using":[56],"network.":[59],"prove":[61],"space-efficiency":[63],"network":[67],"relative":[68],"to":[69],"probabilistic":[71],"finite":[72],"state":[73],"machine.":[74],"demonstrate":[76],"our":[77],"approach":[78],"simple":[81],"elevator":[82],"system":[83]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}