{"id":"https://openalex.org/W4387164066","doi":"https://doi.org/10.1080/01691864.2023.2260856","title":"Emergent communication through Metropolis-Hastings naming game with deep generative models","display_name":"Emergent communication through Metropolis-Hastings naming game with deep generative models","publication_year":2023,"publication_date":"2023-09-29","ids":{"openalex":"https://openalex.org/W4387164066","doi":"https://doi.org/10.1080/01691864.2023.2260856"},"language":"en","primary_location":{"id":"doi:10.1080/01691864.2023.2260856","is_oa":true,"landing_page_url":"https://doi.org/10.1080/01691864.2023.2260856","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/01691864.2023.2260856?needAccess=true","source":{"id":"https://openalex.org/S192584203","display_name":"Advanced Robotics","issn_l":"0169-1864","issn":["0169-1864","1568-5535"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Robotics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/01691864.2023.2260856?needAccess=true","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023160093","display_name":"Tadahiro Taniguchi","orcid":"https://orcid.org/0000-0002-5682-2076"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Tadahiro Taniguchi","raw_affiliation_strings":["College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Shiga, Japan"],"raw_orcid":"https://orcid.org/0000-0002-5682-2076","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102351719","display_name":"Yuto Yoshida","orcid":null},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuto Yoshida","raw_affiliation_strings":["Graduate School of Information Science and Engineering, Ritsumeikan University, Kusatsu, Shiga, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Engineering, Ritsumeikan University, Kusatsu, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006319914","display_name":"Yuta Matsui","orcid":null},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuta Matsui","raw_affiliation_strings":["Graduate School of Information Science and Engineering, Ritsumeikan University, Kusatsu, Shiga, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Engineering, Ritsumeikan University, Kusatsu, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084146876","display_name":"Nguyen Le Hoang","orcid":"https://orcid.org/0000-0002-3351-8960"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nguyen Le Hoang","raw_affiliation_strings":["Graduate School of Information Science and Engineering, Ritsumeikan University, Kusatsu, Shiga, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Engineering, Ritsumeikan University, Kusatsu, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075101437","display_name":"Akira Taniguchi","orcid":"https://orcid.org/0000-0003-0678-1103"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akira Taniguchi","raw_affiliation_strings":["College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Shiga, Japan"],"raw_orcid":"https://orcid.org/0000-0003-0678-1103","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064096346","display_name":"Yoshinobu Hagiwara","orcid":"https://orcid.org/0009-0006-1208-3159"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshinobu Hagiwara","raw_affiliation_strings":["Research Organization of Science and Technology, Ritsumeikan University, Kusatsu, Shiga, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Organization of Science and Technology, Ritsumeikan University, Kusatsu, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5023160093"],"corresponding_institution_ids":["https://openalex.org/I135768898"],"apc_list":null,"apc_paid":null,"fwci":50.984,"has_fulltext":true,"cited_by_count":26,"citation_normalized_percentile":{"value":0.99875575,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"37","issue":"19","first_page":"1266","last_page":"1282"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12090","display_name":"Language and cultural evolution","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/3316","display_name":"Cultural Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12090","display_name":"Language and cultural evolution","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/3316","display_name":"Cultural Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14394","display_name":"Cognitive Science and Education Research","score":0.9362999796867371,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11665","display_name":"Animal Vocal Communication and Behavior","score":0.9144999980926514,"subfield":{"id":"https://openalex.org/subfields/1309","display_name":"Developmental Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7545413970947266},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6624284982681274},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.6164572238922119},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5718936324119568},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5487781167030334},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5385483503341675},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5358200669288635},{"id":"https://openalex.org/keywords/symbol","display_name":"Symbol (formal)","score":0.45596426725387573},{"id":"https://openalex.org/keywords/viewpoints","display_name":"Viewpoints","score":0.4351329803466797},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.41962265968322754},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.41405779123306274},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41220107674598694},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3974740207195282},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3217211365699768},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.30214008688926697}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7545413970947266},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6624284982681274},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.6164572238922119},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5718936324119568},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5487781167030334},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5385483503341675},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5358200669288635},{"id":"https://openalex.org/C134400042","wikidata":"https://www.wikidata.org/wiki/Q2372244","display_name":"Symbol (formal)","level":2,"score":0.45596426725387573},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.4351329803466797},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.41962265968322754},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.41405779123306274},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41220107674598694},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3974740207195282},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3217211365699768},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.30214008688926697},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/01691864.2023.2260856","is_oa":true,"landing_page_url":"https://doi.org/10.1080/01691864.2023.2260856","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/01691864.2023.2260856?needAccess=true","source":{"id":"https://openalex.org/S192584203","display_name":"Advanced Robotics","issn_l":"0169-1864","issn":["0169-1864","1568-5535"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Robotics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1080/01691864.2023.2260856","is_oa":true,"landing_page_url":"https://doi.org/10.1080/01691864.2023.2260856","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/01691864.2023.2260856?needAccess=true","source":{"id":"https://openalex.org/S192584203","display_name":"Advanced Robotics","issn_l":"0169-1864","issn":["0169-1864","1568-5535"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Robotics","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G4888897191","display_name":null,"funder_award_id":"17H06383","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G8246487163","display_name":"Foundation of Co-creative Learning based on Symbol Emergence Systems Theory","funder_award_id":"21H04904","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387164066.pdf","grobid_xml":"https://content.openalex.org/works/W4387164066.grobid-xml"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W193783681","https://openalex.org/W569478347","https://openalex.org/W1976274322","https://openalex.org/W2034455548","https://openalex.org/W2053000838","https://openalex.org/W2053154970","https://openalex.org/W2055226328","https://openalex.org/W2110338999","https://openalex.org/W2112868767","https://openalex.org/W2127498532","https://openalex.org/W2134895127","https://openalex.org/W2136851074","https://openalex.org/W2138309709","https://openalex.org/W2148062943","https://openalex.org/W2148300948","https://openalex.org/W2148764920","https://openalex.org/W2158266063","https://openalex.org/W2164777277","https://openalex.org/W2166188321","https://openalex.org/W2168856390","https://openalex.org/W2180378865","https://openalex.org/W2187089797","https://openalex.org/W2220867547","https://openalex.org/W2411498461","https://openalex.org/W2464234964","https://openalex.org/W2592549418","https://openalex.org/W2595840341","https://openalex.org/W2803155336","https://openalex.org/W2913429812","https://openalex.org/W2948539192","https://openalex.org/W2963640382","https://openalex.org/W2971094937","https://openalex.org/W2980731151","https://openalex.org/W2995892729","https://openalex.org/W2996361813","https://openalex.org/W3004441278","https://openalex.org/W3098767311","https://openalex.org/W3099484702","https://openalex.org/W3127144342","https://openalex.org/W3132285497","https://openalex.org/W3154005821","https://openalex.org/W3157259911","https://openalex.org/W3164243458","https://openalex.org/W3197177945","https://openalex.org/W3198993769","https://openalex.org/W3200610390","https://openalex.org/W4200602849","https://openalex.org/W4205897400","https://openalex.org/W4213299273","https://openalex.org/W4231535102","https://openalex.org/W4233071312","https://openalex.org/W4235169531","https://openalex.org/W4247883378","https://openalex.org/W4310895557","https://openalex.org/W4385837416","https://openalex.org/W4389345109","https://openalex.org/W6644314668"],"related_works":["https://openalex.org/W4396941953","https://openalex.org/W2093104230","https://openalex.org/W2987280934","https://openalex.org/W4390874210","https://openalex.org/W4384918963","https://openalex.org/W4365211920","https://openalex.org/W2128027845","https://openalex.org/W3014948380","https://openalex.org/W4386184937","https://openalex.org/W4241564561"],"abstract_inverted_index":{"Constructive":[0],"studies":[1],"on":[2,61,73,111,202,237],"symbol":[3,21,147],"emergence":[4,148,180],"systems":[5,45],"seek":[6],"to":[7,33,41,124,167],"investigate":[8],"computational":[9,36],"models":[10],"that":[11,38,135,139,246,280],"can":[12],"better":[13],"explain":[14],"human":[15],"language":[16,174],"evolution,":[17],"the":[18,24,79,118,141,168,179,186,203,268,273,299,302],"creation":[19],"of":[20,26,68,128,181,222,267,270,301,306],"systems,":[22],"and":[23,46,155,215,217,239,256,295],"construction":[25],"internal":[27,47,213],"representations.":[28,48],"Specifically,":[29],"emergent":[30,56,102,199,291],"communication":[31,103,157,200,292],"aims":[32],"formulate":[34],"a":[35,52,62,69,92,108,126,194],"model":[37,54,65,71,189,197,233],"enables":[39],"agents":[40,138,211,262,271],"build":[42],"efficient":[43],"sign":[44],"This":[49,164],"study":[50],"provides":[51],"new":[53],"for":[55,131,198],"communication,":[57],"which":[58],"is":[59,90,107,122,149,158],"based":[60,72,110,201],"probabilistic":[63],"generative":[64,196],"(PGM)":[66],"instead":[67],"discriminative":[70],"deep":[74,195],"reinforcement":[75],"learning.":[76],"We":[77,183],"define":[78],"Metropolis-Hastings":[80],"(MH)":[81],"naming":[82,120,142,205,275],"game":[83,94,109,121],"by":[84,100,254,263,288],"generalizing":[85],"previously":[86],"proposed":[87],"models.":[88],"It":[89],"not":[91],"referential":[93],"with":[95],"explicit":[96,115],"feedback,":[97],"as":[98,151,160],"assumed":[99],"many":[101],"studies.":[104],"Instead,":[105],"it":[106],"joint":[112],"attention":[113],"without":[114,293],"feedback.":[116],"Mathematically,":[117],"MH":[119,129,204,274],"proved":[123],"be":[125],"type":[127],"algorithm":[130],"an":[132],"integrative":[133],"PGM":[134],"combines":[136],"two":[137,210],"play":[140],"game.":[143,206,276],"From":[144],"this":[145,208],"viewpoint,":[146],"regarded":[150,159],"decentralized":[152],"Bayesian":[153],"inference,":[154],"semiotic":[156],"inter-personal":[161],"cross-modal":[162],"inference.":[163],"notion":[165],"leads":[166],"collective":[169],"predictive":[170],"coding":[171],"hypothesis":[172],"regarding":[173],"evolution":[175],"and,":[176],"in":[177],"general,":[178],"symbols.":[182],"also":[184],"propose":[185],"inter-Gaussian":[187],"mixture":[188],"(GMM)+":[190],"variational":[191],"autoencoder":[192],"(VAE),":[193],"In":[207],"model,":[209],"create":[212],"representations":[214],"categories":[216,247],"share":[218],"signs":[219,257,286],"(i.e.":[220],"names":[221],"objects)":[223],"from":[224,229,250,285],"raw":[225],"visual":[226,281],"images":[227,252,282],"observed":[228,253],"different":[230],"viewpoints.":[231],"The":[232],"has":[234],"been":[235],"validated":[236],"MNIST":[238],"Fruits":[240],"360":[241],"datasets.":[242],"Experimental":[243],"findings":[244],"demonstrate":[245],"are":[248,258],"formed":[249],"real":[251],"agents,":[255],"correctly":[259],"shared":[260],"across":[261],"successfully":[264],"utilizing":[265],"both":[266],"observations":[269],"via":[272],"Furthermore,":[277],"scholars":[278],"verified":[279],"were":[283],"recalled":[284],"uttered":[287],"agents.":[289,307],"Notably,":[290],"supervision":[294],"reward":[296],"feedback":[297],"improved":[298],"performance":[300],"unsupervised":[303],"representation":[304],"learning":[305]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":8}],"updated_date":"2026-07-13T07:31:44.756512","created_date":"2025-10-10T00:00:00"}
