{"id":"https://openalex.org/W4240094433","doi":"https://doi.org/10.1109/iat.2004.1342932","title":"Revising Markov boundary for multiagent probabilistic inference","display_name":"Revising Markov boundary for multiagent probabilistic inference","publication_year":2004,"publication_date":"2004-11-08","ids":{"openalex":"https://openalex.org/W4240094433","doi":"https://doi.org/10.1109/iat.2004.1342932"},"language":"en","primary_location":{"id":"doi:10.1109/iat.2004.1342932","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iat.2004.1342932","pdf_url":null,"source":{"id":"https://openalex.org/S4363608984","display_name":"Proceedings. IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2004. (IAT 2004).","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2004. (IAT 2004).","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/A5100736327","display_name":"Xiangdong An","orcid":"https://orcid.org/0000-0003-3873-6884"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xiangdong An","raw_affiliation_strings":["School of Computer Science, University of Waterloo, ONT, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Waterloo, ONT, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100666555","display_name":"Yang Xiang","orcid":"https://orcid.org/0000-0001-9740-6645"},"institutions":[{"id":"https://openalex.org/I79817857","display_name":"University of Guelph","ror":"https://ror.org/01r7awg59","country_code":"CA","type":"education","lineage":["https://openalex.org/I79817857"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yang Xiang","raw_affiliation_strings":["Department of Computer and Information Science, University of Guelph, ONT, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Guelph, ONT, Canada","institution_ids":["https://openalex.org/I79817857"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033482013","display_name":"N. Cercone","orcid":null},"institutions":[{"id":"https://openalex.org/I129902397","display_name":"Dalhousie University","ror":"https://ror.org/01e6qks80","country_code":"CA","type":"education","lineage":["https://openalex.org/I129902397"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"N. Cercone","raw_affiliation_strings":["Faculty of Computer Science, Dalhousie University, NS, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science, Dalhousie University, NS, Canada","institution_ids":["https://openalex.org/I129902397"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2205,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.53011185,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"113","last_page":"119"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":1.0,"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":1.0,"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":0.9671000242233276,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9429000020027161,"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/graphical-model","display_name":"Graphical model","score":0.8095628023147583},{"id":"https://openalex.org/keywords/variable-elimination","display_name":"Variable elimination","score":0.6458664536476135},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.6321506500244141},{"id":"https://openalex.org/keywords/observable","display_name":"Observable","score":0.6255667805671692},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5989810228347778},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5796067714691162},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.5739302635192871},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.5679876208305359},{"id":"https://openalex.org/keywords/variable-order-bayesian-network","display_name":"Variable-order Bayesian network","score":0.5438001155853271},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.514008641242981},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.495352178812027},{"id":"https://openalex.org/keywords/variable-order-markov-model","display_name":"Variable-order Markov model","score":0.46353983879089355},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.4603955149650574},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4490795135498047},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.42754772305488586},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3933345079421997},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37323465943336487},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3559010326862335},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.34156277775764465},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3399973213672638},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.3132585287094116},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2944478988647461},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09854534268379211}],"concepts":[{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.8095628023147583},{"id":"https://openalex.org/C169272836","wikidata":"https://www.wikidata.org/wiki/Q5668307","display_name":"Variable elimination","level":3,"score":0.6458664536476135},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.6321506500244141},{"id":"https://openalex.org/C32848918","wikidata":"https://www.wikidata.org/wiki/Q845789","display_name":"Observable","level":2,"score":0.6255667805671692},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5989810228347778},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5796067714691162},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5739302635192871},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.5679876208305359},{"id":"https://openalex.org/C71983512","wikidata":"https://www.wikidata.org/wiki/Q7915687","display_name":"Variable-order Bayesian network","level":4,"score":0.5438001155853271},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.514008641242981},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.495352178812027},{"id":"https://openalex.org/C54907487","wikidata":"https://www.wikidata.org/wiki/Q7915688","display_name":"Variable-order Markov model","level":4,"score":0.46353983879089355},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.4603955149650574},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4490795135498047},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.42754772305488586},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3933345079421997},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37323465943336487},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3559010326862335},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.34156277775764465},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3399973213672638},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.3132585287094116},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2944478988647461},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09854534268379211},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iat.2004.1342932","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iat.2004.1342932","pdf_url":null,"source":{"id":"https://openalex.org/S4363608984","display_name":"Proceedings. IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2004. (IAT 2004).","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2004. (IAT 2004).","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W125818308","https://openalex.org/W1532594170","https://openalex.org/W1540196098","https://openalex.org/W1550278899","https://openalex.org/W1565763124","https://openalex.org/W1573557304","https://openalex.org/W1581645897","https://openalex.org/W1967646820","https://openalex.org/W2019942636","https://openalex.org/W2020294948","https://openalex.org/W2100666894","https://openalex.org/W2110575115","https://openalex.org/W2129564794","https://openalex.org/W2157470392","https://openalex.org/W2159080219","https://openalex.org/W2161369142","https://openalex.org/W2963331194","https://openalex.org/W4254833237","https://openalex.org/W6605020181","https://openalex.org/W6631727684","https://openalex.org/W6634952845","https://openalex.org/W6640453930","https://openalex.org/W6678875967"],"related_works":["https://openalex.org/W2955135267","https://openalex.org/W2106257677","https://openalex.org/W2964321162","https://openalex.org/W2373988360","https://openalex.org/W4322716735","https://openalex.org/W643788828","https://openalex.org/W2127039500","https://openalex.org/W2126934800","https://openalex.org/W1568487591","https://openalex.org/W2892479684"],"abstract_inverted_index":{"Multiply":[0],"sectioned":[1],"Bayesian":[2,6,191],"networks":[3,7],"(MSBNs)":[4],"extend":[5],"(BNs)":[8],"to":[9,58,101,136,167],"graphical":[10,35,157,173],"models":[11],"that":[12,76],"provide":[13],"a":[14,44,61,64,68,71,106,124,149,183,206],"coherent":[15],"framework":[16],"for":[17,94,123,169,197],"probabilistic":[18,62,107,170],"inference":[19,33,171],"in":[20,31,105,210],"cooperative":[21,198],"multiagent":[22],"distributed":[23],"interpretation":[24],"systems.":[25],"Observation":[26],"plays":[27],"an":[28,176,195,211],"important":[29],"role":[30],"the":[32,54,78,81,88,110,134,142,178,201],"with":[34,172],"models.":[36,158,174],"Since":[37],"observation":[38],"of":[39,67,74,83,144,148,151,156,182,185,200,205,208],"each":[40],"observable":[41,145,160,179,202],"variable":[42,69,79],"has":[43],"cost,":[45],"it":[46,97,119,128],"would":[47],"be":[48,91,116],"helpful":[49],"if":[50],"we":[51,140],"can":[52],"find":[53],"most":[55],"relevant":[56,165],"variables":[57,75,166],"observe.":[59],"In":[60,175],"model,":[63],"Markov":[65,111,146,161,180,203],"boundary":[66,112,147,162,181,204],"provides":[70],"minimal":[72],"set":[73,150,184,207],"shields":[77],"from":[80],"influence":[82],"all":[84,164,190],"other":[85],"variables.":[86],"However,":[87],"concept":[89,135,143],"cannot":[90],"used":[92],"directly":[93],"observation.":[95],"First,":[96],"is":[98,120,129],"generally":[99],"intractable":[100],"verify":[102],"conditional":[103],"independencies":[104],"model.":[108],"Second,":[109],"members":[113],"may":[114,187],"not":[115,130],"observable.":[117],"Third,":[118],"defined":[121,153],"only":[122],"single":[125],"variable.":[126],"Finally,":[127],"unique.":[131],"By":[132],"revising":[133],"address":[137],"these":[138],"issues,":[139],"introduce":[141],"nodes":[152,186,209],"on":[154],"d-separation":[155],"The":[159],"captures":[163],"observe":[168],"MSBN,":[177],"span":[188],"across":[189],"subnets.":[192],"We":[193],"present":[194],"algorithm":[196],"computation":[199],"MSBN":[212],"without":[213],"revealing":[214],"subnet":[215],"structures.":[216]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
