{"id":"https://openalex.org/W2163438293","doi":"https://doi.org/10.1177/0037549703039950","title":"Simulation of Graphical Models for Multiagent Probabilistic Inference","display_name":"Simulation of Graphical Models for Multiagent Probabilistic Inference","publication_year":2003,"publication_date":"2003-10-01","ids":{"openalex":"https://openalex.org/W2163438293","doi":"https://doi.org/10.1177/0037549703039950","mag":"2163438293"},"language":"en","primary_location":{"id":"doi:10.1177/0037549703039950","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0037549703039950","pdf_url":null,"source":{"id":"https://openalex.org/S32573412","display_name":"SIMULATION","issn_l":"0037-5497","issn":["0037-5497","1741-3133"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIMULATION","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":null,"display_name":"Y. Xiang","orcid":null},"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":true,"raw_author_name":"Y. Xiang","raw_affiliation_strings":["Department of Computing and Information Science College of Physical and                        Engineering Science University of Guelph Guelph, Ontario Canada N1G 2W1"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing and Information Science College of Physical and                        Engineering Science University of Guelph Guelph, Ontario Canada N1G 2W1","institution_ids":["https://openalex.org/I79817857"]}]},{"author_position":"middle","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":true,"raw_author_name":"X. An","raw_affiliation_strings":["School of Computer Science University of Waterloo Waterloo, Ontario                        Canada N2L 3G1"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science University of Waterloo Waterloo, Ontario                        Canada N2L 3G1","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109199805","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 6050 University Avenue                        Halifax, Nova Scotia Canada B3H 1W5","Faculty of Computer Science Dalhousie University 6050 University Avenue Halifax, Nova Scotia Canada B3H 1W5"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science Dalhousie University 6050 University Avenue                        Halifax, Nova Scotia Canada B3H 1W5","institution_ids":["https://openalex.org/I129902397"]},{"raw_affiliation_string":"Faculty of Computer Science Dalhousie University 6050 University Avenue Halifax, Nova Scotia Canada B3H 1W5","institution_ids":["https://openalex.org/I129902397"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100736327"],"corresponding_institution_ids":["https://openalex.org/I151746483","https://openalex.org/I79817857"],"apc_list":null,"apc_paid":null,"fwci":0.4645,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.76497812,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"79","issue":"10","first_page":"545","last_page":"567"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9973999857902527,"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":0.9972000122070312,"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/computer-science","display_name":"Computer science","score":0.7575509548187256},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.6774412989616394},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.6453726887702942},{"id":"https://openalex.org/keywords/backtracking","display_name":"Backtracking","score":0.6370380520820618},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6101710796356201},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5605423450469971},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.49637681245803833},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.489179402589798},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43346360325813293},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4245615601539612},{"id":"https://openalex.org/keywords/influence-diagram","display_name":"Influence diagram","score":0.4211786389350891},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3719184398651123},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3302699327468872},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3019689917564392},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.14171606302261353},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11654043197631836},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.10684305429458618}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7575509548187256},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.6774412989616394},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.6453726887702942},{"id":"https://openalex.org/C156884757","wikidata":"https://www.wikidata.org/wiki/Q798554","display_name":"Backtracking","level":2,"score":0.6370380520820618},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6101710796356201},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5605423450469971},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.49637681245803833},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.489179402589798},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43346360325813293},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4245615601539612},{"id":"https://openalex.org/C20837028","wikidata":"https://www.wikidata.org/wiki/Q623966","display_name":"Influence diagram","level":3,"score":0.4211786389350891},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3719184398651123},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3302699327468872},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3019689917564392},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.14171606302261353},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11654043197631836},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.10684305429458618},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/0037549703039950","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0037549703039950","pdf_url":null,"source":{"id":"https://openalex.org/S32573412","display_name":"SIMULATION","issn_l":"0037-5497","issn":["0037-5497","1741-3133"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIMULATION","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7900000214576721,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W80931100","https://openalex.org/W1524326598","https://openalex.org/W1531707364","https://openalex.org/W1560800112","https://openalex.org/W1578897660","https://openalex.org/W1581645897","https://openalex.org/W1709167095","https://openalex.org/W1826182661","https://openalex.org/W1967646820","https://openalex.org/W2039964449","https://openalex.org/W2043642599","https://openalex.org/W2090761873","https://openalex.org/W2098073422","https://openalex.org/W2124344619","https://openalex.org/W2154028116","https://openalex.org/W2159080219","https://openalex.org/W2615688110","https://openalex.org/W3020913839","https://openalex.org/W4254833237"],"related_works":["https://openalex.org/W3183113072","https://openalex.org/W2126934800","https://openalex.org/W2187019487","https://openalex.org/W2776613281","https://openalex.org/W1715419791","https://openalex.org/W643788828","https://openalex.org/W2158940596","https://openalex.org/W2007136816","https://openalex.org/W2070797946","https://openalex.org/W4200510307"],"abstract_inverted_index":{"Multiply-sectioned":[0],"Bayesian":[1,5],"networks":[2,6],"(MSBNs)":[3],"extend":[4],"to":[7,52,67],"graphical":[8],"models":[9],"for":[10,19],"multiagent":[11],"probabilistic":[12],"reasoning.":[13],"The":[14,81],"empirical":[15],"study":[16],"of":[17,21,49,65,79,95,101,119],"algorithms":[18,120],"manipulations":[20],"MSBNs":[22,33],"(e.g.,":[23],"verification,":[24],"compilation,":[25],"and":[26,41,62,109,127],"inference)":[27],"requires":[28,38],"experimental":[29,128],"MSBNs.":[30,50],"As":[31],"engineering":[32,42],"in":[34],"large":[35,54],"problem":[36],"domains":[37],"significant":[39],"knowledge":[40],"effort,":[43],"the":[44,53,89,99,110],"authors":[45,82],"explore":[46],"automatic":[47],"simulation":[48,74,90],"Due":[51],"domain":[55],"over":[56],"which":[57],"an":[58,84],"MSBN":[59],"is":[60,107,112,125],"defined":[61],"a":[63,70,76,93,114],"set":[64],"constraints":[66],"be":[68],"satisfied,":[69],"generate-and-test":[71],"approach":[72,86,124],"toward":[73],"has":[75],"high":[77],"rate":[78],"failure.":[80],"present":[83],"alternative":[85],"that":[87,105,121],"treats":[88],"process":[91],"as":[92],"sequence":[94],"decisions.":[96],"They":[97],"constrain":[98],"space":[100],"each":[102],"decision":[103],"so":[104],"backtracking":[106],"minimized":[108],"outcome":[111],"always":[113],"legal":[115],"MSBN.":[116],"A":[117],"suite":[118],"implements":[122],"this":[123],"presented,":[126],"results":[129],"are":[130],"shown.":[131]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
