{"id":"https://openalex.org/W2012068092","doi":"https://doi.org/10.1145/2001858.2002106","title":"Bayesian networks learning for strategies in artificial life","display_name":"Bayesian networks learning for strategies in artificial life","publication_year":2011,"publication_date":"2011-07-12","ids":{"openalex":"https://openalex.org/W2012068092","doi":"https://doi.org/10.1145/2001858.2002106","mag":"2012068092"},"language":"en","primary_location":{"id":"doi:10.1145/2001858.2002106","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2001858.2002106","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th annual conference companion on Genetic and evolutionary computation","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/A5037393859","display_name":"Lisa Yan","orcid":"https://orcid.org/0009-0007-2310-3060"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Lisa Jing Yan","raw_affiliation_strings":["York University, Toronto, ON, Canada","York University , Toronto , ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"York University, Toronto, ON, Canada","institution_ids":["https://openalex.org/I192455969"]},{"raw_affiliation_string":"York University , Toronto , ON, Canada","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105530330","display_name":"Nick Cercone","orcid":null},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Nick Cercone","raw_affiliation_strings":["York University, Toronto, ON, Canada","York University , Toronto , ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"York University, Toronto, ON, Canada","institution_ids":["https://openalex.org/I192455969"]},{"raw_affiliation_string":"York University , Toronto , ON, Canada","institution_ids":["https://openalex.org/I192455969"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I192455969"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10661283,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"821","last_page":"822"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9764999747276306,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9291999936103821,"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/bayesian-network","display_name":"Bayesian network","score":0.75285804271698},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7086302042007446},{"id":"https://openalex.org/keywords/artificial-life","display_name":"Artificial life","score":0.6557307243347168},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.655668318271637},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6461874842643738},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5784077048301697},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5107591152191162},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.49642330408096313},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.4748930037021637},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.4469805359840393},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.4258493483066559}],"concepts":[{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.75285804271698},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7086302042007446},{"id":"https://openalex.org/C19273510","wikidata":"https://www.wikidata.org/wiki/Q263847","display_name":"Artificial life","level":2,"score":0.6557307243347168},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.655668318271637},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6461874842643738},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5784077048301697},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5107591152191162},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.49642330408096313},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.4748930037021637},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.4469805359840393},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.4258493483066559},{"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2001858.2002106","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2001858.2002106","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th annual conference companion on Genetic and evolutionary computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Responsible consumption and production","id":"https://metadata.un.org/sdg/12","score":0.5799999833106995}],"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":4,"referenced_works":["https://openalex.org/W2040975747","https://openalex.org/W2078146565","https://openalex.org/W2089133220","https://openalex.org/W2170112109"],"related_works":["https://openalex.org/W3183113072","https://openalex.org/W2126934800","https://openalex.org/W2187019487","https://openalex.org/W1715419791","https://openalex.org/W643788828","https://openalex.org/W2158940596","https://openalex.org/W4200510307","https://openalex.org/W3125134981","https://openalex.org/W2188106786","https://openalex.org/W1554198325"],"abstract_inverted_index":{"Evolutionary":[0],"algorithms":[1],"have":[2,38],"been":[3,30,40],"used":[4],"to":[5,9,22,25,73,78],"effectively":[6],"generate":[7],"solutions":[8],"artificial":[10],"life":[11],"problems.":[12],"However,":[13],"this":[14,35],"process":[15,37,82],"may":[16],"take":[17],"a":[18,54,75],"number":[19],"of":[20,99],"generations":[21],"complete.":[23],"Research":[24],"accelerate":[26],"evolutionary":[27],"search":[28],"has":[29],"reported,":[31],"yet,":[32],"insights":[33],"into":[34,111],"evolving":[36],"not":[39],"analyzed":[41],"nor":[42],"why":[43,63],"certain":[44,64],"characteristics":[45,104],"are":[46,66],"more":[47],"dominant":[48],"than":[49],"others.":[50],"This":[51],"paper":[52],"provides":[53,106],"systematic":[55],"and":[56,62,105],"causal":[57],"explanation":[58],"for":[59,108],"these":[60,103],"findings":[61],"genes":[65],"superior.":[67],"We":[68],"use":[69],"Bayesian":[70],"Networks":[71],"(BNs)":[72],"learn":[74],"graphical":[76],"model":[77],"represent":[79],"the":[80,84,100],"learning":[81],"in":[83],"Artificial":[85],"Life":[86],"environment.":[87],"BAyesian":[88],"Network":[89],"ANAlysis":[90],"(BANANA)":[91],"is":[92],"then":[93],"developed,":[94],"which":[95],"gives":[96],"visual":[97],"representation":[98],"inter-connections":[101],"among":[102],"information":[107],"further":[109],"insight":[110],"genetic":[112],"fitness.":[113]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}