{"id":"https://openalex.org/W3015855446","doi":"https://doi.org/10.1109/icassp40776.2020.9053624","title":"Batman: Bayesian Target Modelling For Active Inference","display_name":"Batman: Bayesian Target Modelling For Active Inference","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015855446","doi":"https://doi.org/10.1109/icassp40776.2020.9053624","mag":"3015855446"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9053624","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053624","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-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":"https://openalex.org/A5052383262","display_name":"Magnus Koudahl","orcid":"https://orcid.org/0000-0003-3411-5036"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Magnus T. Koudahl","raw_affiliation_strings":["Eindhoven University of Technology, Eindhoven (NL)"],"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology, Eindhoven (NL)","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022330444","display_name":"Bert de Vries","orcid":"https://orcid.org/0000-0003-0839-174X"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Bert de Vries","raw_affiliation_strings":["Eindhoven Univ. of Technology & GN Hearing, Eindhoven (NL)"],"affiliations":[{"raw_affiliation_string":"Eindhoven Univ. of Technology & GN Hearing, Eindhoven (NL)","institution_ids":["https://openalex.org/I83019370"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5052383262"],"corresponding_institution_ids":["https://openalex.org/I83019370"],"apc_list":null,"apc_paid":null,"fwci":0.2231,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.48169036,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"3852","last_page":"3856"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11883","display_name":"Embodied and Extended Cognition","score":0.9902999997138977,"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"}},"topics":[{"id":"https://openalex.org/T11883","display_name":"Embodied and Extended Cognition","score":0.9902999997138977,"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/T12090","display_name":"Language and cultural evolution","score":0.9879000186920166,"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/T12002","display_name":"Computability, Logic, AI Algorithms","score":0.97079998254776,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/inference","display_name":"Inference","score":0.865694522857666},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7188065052032471},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.6530653238296509},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6313714981079102},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6104747653007507},{"id":"https://openalex.org/keywords/free-energy-principle","display_name":"Free energy principle","score":0.6100642085075378},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5161944031715393},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.4929540157318115},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.46737924218177795},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4648522138595581},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.45277881622314453},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.3718164563179016}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.865694522857666},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7188065052032471},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.6530653238296509},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6313714981079102},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6104747653007507},{"id":"https://openalex.org/C33553690","wikidata":"https://www.wikidata.org/wiki/Q17014702","display_name":"Free energy principle","level":2,"score":0.6100642085075378},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5161944031715393},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.4929540157318115},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.46737924218177795},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4648522138595581},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.45277881622314453},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.3718164563179016},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icassp40776.2020.9053624","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053624","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.tue.nl:openaire_cris_publications/4dcb8d88-113c-4b37-9e6f-ecede8543c60","is_oa":false,"landing_page_url":"https://research.tue.nl/en/publications/4dcb8d88-113c-4b37-9e6f-ecede8543c60","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","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":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Koudahl, M & de Vries, A 2020, BATMAN: BAyesian Target Modelling for Active iNference. in 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Proceedings., 9053624, Institute of Electrical and Electronics Engineers, pp. 3852-3856, 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2020), Barcelona, Spain, 4/05/20. https://doi.org/10.1109/ICASSP40776.2020.9053624","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:tue:oai:pure.tue.nl:publications/4dcb8d88-113c-4b37-9e6f-ecede8543c60","is_oa":false,"landing_page_url":"https://research.tue.nl/nl/publications/4dcb8d88-113c-4b37-9e6f-ecede8543c60","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Proceedings, 3852 - 3856","raw_type":"info:eu-repo/semantics/conferencepaper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1418557530","https://openalex.org/W1511986666","https://openalex.org/W1514444828","https://openalex.org/W1971715144","https://openalex.org/W2052963087","https://openalex.org/W2064480843","https://openalex.org/W2104223521","https://openalex.org/W2157376352","https://openalex.org/W2463330366","https://openalex.org/W2552810632","https://openalex.org/W2753555157","https://openalex.org/W2781668895","https://openalex.org/W2788571241","https://openalex.org/W2798667480","https://openalex.org/W2799261850","https://openalex.org/W2807844797","https://openalex.org/W2875797025","https://openalex.org/W2899947052","https://openalex.org/W2901597764","https://openalex.org/W2929539807","https://openalex.org/W3098156617","https://openalex.org/W6630942682","https://openalex.org/W6675984761","https://openalex.org/W6749050639","https://openalex.org/W6750635204","https://openalex.org/W6751127083"],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4380551139","https://openalex.org/W4317695495","https://openalex.org/W4287117424","https://openalex.org/W4387506531","https://openalex.org/W2087346071","https://openalex.org/W4238433571","https://openalex.org/W2967848559","https://openalex.org/W4299831724"],"abstract_inverted_index":{"Active":[0,12,49,70,77,117,124],"Inference":[1,13,50,78,118,125],"is":[2,17,101],"an":[3,11,76,81],"emerging":[4],"framework":[5],"for":[6,69,116,137],"designing":[7],"intelligent":[8],"agents.":[9],"In":[10],"setting,":[14],"any":[15],"task":[16],"formulated":[18],"as":[19],"a":[20,27,35,60,91,105,130],"variational":[21],"free":[22],"energy":[23],"minimisation":[24],"problem":[25],"on":[26,34],"generative":[28,107],"probabilistic":[29],"model.":[30],"Goal-directed":[31],"behaviour":[32],"relies":[33],"clear":[36],"specification":[37],"of":[38,98,104,123],"desired":[39,43,87,113],"future":[40,88,114],"observations.":[41],"Learning":[42],"observations":[44,89,115],"would":[45],"open":[46],"up":[47],"the":[48,65,102],"approach":[51],"to":[52,58],"problems":[53],"where":[54],"these":[55],"are":[56],"difficult":[57],"specify":[59],"priori.":[61],"This":[62],"paper":[63,100],"introduces":[64],"BAyesian":[66],"Target":[67],"Modelling":[68],"iNference":[71],"(BATMAN)":[72],"approach,":[73],"which":[74],"augments":[75],"agent":[79],"with":[80],"additional,":[82],"separate":[83,92],"model":[84,108],"that":[85,110],"learns":[86],"from":[90],"data":[93],"source.":[94],"The":[95],"main":[96],"contribution":[97],"this":[99],"design":[103],"coupled":[106],"structure":[109],"facilitates":[111],"learning":[112],"agents":[119],"and":[120,126],"supports":[121],"integration":[122],"classical":[127],"methods":[128],"in":[129],"joint":[131],"framework.":[132],"We":[133],"provide":[134],"proof-of-concept":[135],"validation":[136],"BATMAN":[138],"through":[139],"simulations.":[140]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}